Nvidia patents using neural networks to add realistic noise to images
Nvidia describes a method where a neural network analyzes the features of objects in an image to determine what kind of noise or variation to add. Instead of applying random static, the system uses the image's content to decide how to alter the picture.
In the filing’s own words
Apparatuses, systems, and techniques are presented to introduce noise or variation into images. In at least one embodiment, one or more neural networks are used to determine noise to be added to one or more images of one or more objects based, at least in part, upon one or more features of the one or more objects.
What exactly they claim (claim 1)
1. A processor, comprising: one or more circuits to use one or more neural networks to determine noise to be added to one or more images of one or more objects based, at least in part, upon one or more features of the one or more objects.
Facts
- Company
- Nvidia (NVIDIA Corporation)
- Official title
- NEURAL NETWORK-BASED NOISE SYNTHESIS
- Publication number
- US20260320983A1
- Application number
- 19464430
- Filed
- Jan 29, 2026
- Published
- Oct 15, 2026
- Inventors
- 7
- Claims
- 18
Classified under
G06V 10/7747 Physics & computingG06N 3/045 Physics & computingG06V 10/82 Physics & computingMore 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.