Nvidia patents method to boost image resolution using two neural networks
Nvidia describes a technique that uses two separate neural networks to turn low-resolution images into high-resolution ones. The first network analyzes the input data to create specific settings, which are then passed to the second network to reconstruct the image at a higher quality.
In the filing’s own words
Apparatuses, systems, and techniques are presented to generate images. In at least one embodiment, one or more neural networks are used to generate one or more images using one or more pixel weights.
What exactly they claim (claim 1)
1. A method, comprising: obtaining lower resolution (LR) images; generating, with a first neural network, one or more neural network parameters based, at least in part, on image data associated with the LR images at a first frame rate; providing the one or more neural network parameters to a second neural network different from the first neural network; and generating, with the second neural network at a different second frame rate, high resolution (HR) images using a jitter-aware upsampling process based, at least in part, on the LR images.
Facts
- Company
- Nvidia (Nvidia Corporation)
- Official title
- Upsampling an image using one or more neural networks
- Patent number
- US12749150B2
- Application number
- 17406902
- Filed
- Aug 19, 2021
- Granted
- Sep 29, 2026
- Inventors
- 14
- Claims
- 21
Classified under
G06T 3/4069 Physics & computingG06T 1/20 Physics & computingG06T 5/20 Physics & computingG06T 5/50 Physics & computingG06T 5/70 Physics & computingH04N 23/80 Electricity & electronicsMore from Nvidia in AI & software
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.