Nvidia patents method to generate images from camera motion data
Nvidia describes a system that uses neural networks to create images of objects based on how a camera moves. The technology trains these networks using pairs of images that have been modified to simulate different camera angles and movements.
In the filing’s own words
Apparatuses, systems, and techniques are presented to generate image data. In at least one embodiment, one or more images are generated of one or more objects using one or more neural networks trained based, at least in part, upon one or more camera motions with respect to the one or more objects.
What exactly they claim (claim 1)
1. A processor, comprising: one or more circuits to generate one or more images of one or more objects using one or more neural networks trained based, at least in part, upon training data including pairs of source images and target images, depicting the one or more objects, augmented to represent one or more camera motions with respect to the one or more objects, wherein a same set of one or more augmentations are applied to a first subset of the pairs of source images and target images, and for a second subset of the pairs of source images and target images, the source images are augmented differently than the target images.
Facts
- Company
- Nvidia (Nvidia Corporation)
- Official title
- Motion-based image generation using one or more neural networks
- Patent number
- US12762842B1
- Application number
- 17712996
- Filed
- Apr 4, 2022
- Granted
- Oct 13, 2026
- Inventors
- 9
- Claims
- 20
Classified under
G06V 10/774 Physics & computingG06N 3/045 Physics & computingG06N 3/08 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.