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Nvidia patents blending images using neural network confidence scores

Nvidia describes a processor that uses neural networks to combine two or more images. The system assigns a confidence score to objects in each image and blends them based on whether those scores fall below a specific threshold.

Why it mattersThis technique could improve how computers merge visual data from different sources, such as cameras or sensors, by deciding which parts of an image are reliable enough to keep.

In the filing’s own words

Apparatuses, systems, and techniques to blend two or more images based on confidence values of objects within said two or more images. In at least one embodiment, one or more confidence values in one or more images are generated using one or more neural networks that are used, for example, to blend two or more images to be displayed.

What exactly they claim (claim 1)

1. A processor comprising: one or more circuits to use one or more neural networks to blend two or more images based, at least in part, on one or more confidence values below a first threshold value.

Facts

Company
Nvidia (NVIDIA Corporation)
Official title
USING NEURAL NETWORKS TO GENERATE IMAGES
Publication number
US20260289736A1
Application number
19693214
Filed
May 29, 2026
Published
Sep 24, 2026
Inventors
1
Claims
20

Classified under

G06T 5/50 Physics & computingG06T 5/70 Physics & computingG06T 2207/10016 Physics & computingG06T 2207/20081 Physics & computingG06T 2207/20084 Physics & computingG06T 2207/20221 Physics & computing
Read the full filing (official PDF) ↗ Open in the Patent Tracker

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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.