Video prediction using one or more neural networks
AssigneeNVIDIA Corporation
InventorsKevin Shih, Aysegul Dundar, Animesh Garg, Robert Pottorff, Andrew Tao, Bryan Catanzaro
Life of this patent
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Abstract
Apparatuses, systems, and techniques to enhance video are disclosed. In at least one embodiment, one or more neural networks are used to create, from a first video, a second video having one or more additional video frames.
Claims37
A processor comprising:
- one or more circuits to use one or more neural networks to generate one or more objects within one or more images having a pose that is based, at least in part, on a pose of one or more objects previously generated using the one or more neural networks.
A system comprising:
- one or more processors to use one or more neural networks to generate one or more objects within one or more images having a pose that is based, at least in part, on a pose of one or more objects previously generated using the one or more neural networks;
- and
- one or more memories.
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:
- use one or more neural networks to generate one or more objects within one or more images having a pose that is based, at least in part, on a pose of one or more objects previously generated using the one or more neural networks.
A processor comprising:
- one or more circuits to train one or more neural networks to generate one or more objects within one or more images having a pose that is based, at least in part, on a pose of one or more objects previously generated using the one or more neural networks.
A system comprising:
- one or more processors to calculate parameters corresponding to one or more neural networks to generate one or more objects within one or more images having a pose that is based, at least in part, on a pose of one or more objects previously generated using the one or more neural networks;
- and
- one or more memories to store the parameters.
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:
- cause one or more neural networks to be trained to generate one or more objects within one or more images having a pose that is based, at least in part, on a pose of one or more objects previously generated using the one or more neural networks.
Dependencies are inferred from the claim text.