View 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 representing at least one point of view. In at least one embodiment, one or more neural networks are used to generate one or more images of one or more objects from a first point of view based at least in part upon one or more images of the one or more objects from a second point of view.
Claims30
A processor, comprising:
- one or more circuits to use one or more neural networks to generate one or more first images of one or more objects from a first point of view based at least in part upon one or more second images of the one or more objects from a second point of view.
A system comprising:
- one or more processors to use one or more neural networks to generate one or more first images of one or more objects from a first point of view based at least in part upon one or more second images of the one or more objects from a second point of view.
A method comprising:
- using one or more neural networks to generate one or more first images of one or more objects from a first point of view based at least in part upon one or more second images of the one or more objects from a second point of view.
A non-transitory computer-readable storage 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 first images of one or more objects from a first point of view based at least in part upon one or more second images of the one or more objects from a second point of view.
An image augmentation system, comprising:
- one or more processors to use one or more neural networks to generate one or more first images of one or more objects from a first point of view based at least in part upon one or more second images of the one or more objects from a second point of view;
- and
- memory for storing network parameters for the one or more neural networks.
Dependencies are inferred from the claim text.