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US 12,217,386 B2Granted
Image generation using one or more neural networks
AssigneeNVIDIA Corporation
InventorsBrennan Shacklett, Marco Salvi, Aaron Lefohn
Life of this patent
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Abstract
Apparatuses, systems, and techniques are presented to generate images. In at least one embodiment, at least a first optical flow network (OFN) and at least a first reconstruction network (RN) can be used to generate one or more images based, at least in part, upon the OFN and the RN using a shared loss function.
Claims30
A processor, comprising:
- one or more circuits to train one or more optical flow networks (OFNs) and one or more reconstruction networks (RNs) partially dependently after the one or more OFNs and RNs have been trained independently to generate outputs within a first range of values.
A system comprising:
- one or more processors to train one or more optical flow networks (OFNs) and one or more reconstruction networks (RNs) dependently after the one or more OFNs and RNs have been trained independently to generate outputs within a first range of values.
A method comprising:
- training one or more optical flow networks (OFNs) and one or more reconstruction networks (RNs) dependently after the one or more OFNs and RNs have been trained independently to generate outputs within a first range of values.
A non-transitory 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:
- train one or more optical flow networks (OFNs) and one or more reconstruction networks (RNs) dependently after the one or more OFNs and RNs have been trained independently to generate outputs within a first range of values.
An image generation system, comprising:
- one or more processors to train one or more optical flow networks (OFNs) and one or more reconstruction networks (RNs) dependently after the one or more OFNs and RNs have been trained independently to generate outputs within a first range of values;
- and
- memory for storing network parameters for the one or more OFNs and the one or more RNs.
Dependencies are inferred from the claim text.