Video interpolation using one or more neural networks
AssigneeNVIDIA Corporation
InventorsFitsum Reda, Deqing Sun, Aysegul Dundar, Mohammad Shoeybi, Guilin Liu, Kevin Shih, Andrew Tao, Jan Kautz, Bryan Catanzaro
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Abstract
Apparatuses, systems, and techniques to enhance video. In at least one embodiment, one or more neural networks are used to create, from a first video, a second video having a higher frame rate, higher resolution, or reduced number of missing or corrupt video frames.
Claims37
A processor comprising:
- one or more arithmetic logic units (ALUs) to be configured to generate higher frame rate video from lower frame rate video using one or more neural networks.
A system comprising:
- one or more processors to be configured to generate higher frame rate video from lower frame rate video using one or more neural networks;
- and
- one or more memories to store the one or more neural networks.
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:
- generate higher frame rate video from lower frame rate video using one or more neural networks.
A processor comprising:
- one or more arithmetic logic units (ALUs) to train one or more neural networks, at least in part, to generate higher frame rate video from lower frame rate video.
A system comprising:
- one or more processors to calculate parameters corresponding to one or more neural networks, at least in part, to generate higher frame rate video from lower frame rate video;
- and
- one or more memories to store the parameters.
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:
- cause one or more neural networks to be trained, at least in part, to generate higher frame rate video from lower frame rate video;
- and
- one or more memories to store the parameters.
Dependencies are inferred from the claim text.