Nvidia patents method to fill in missing parts of object images
Nvidia describes a system that uses neural networks to create a full picture of an object from just a partial view. The technology trains the network by using the output of one part of the system to teach another part, helping it predict what the hidden sections of the object look like.
In the filing’s own words
Apparatuses, systems, and techniques to generate complete depictions of objects based on a partial depiction of the object. In at least one embodiment, an image of a complete object is generated by one or more neural networks, based on an image of a portion of the object, using an encoder of the one or more neural networks trained using training data generated from output of a decoder of the one or more neural networks.
What exactly they claim (claim 1)
1 - 29. (canceled)
Facts
- Company
- Nvidia (NVIDIA Corporation)
- Official title
- OBJECT IMAGE COMPLETION
- Publication number
- US20260311379A1
- Application number
- 19383361
- Filed
- Nov 7, 2025
- Published
- Oct 8, 2026
- Inventors
- 5
- Claims
- 21
Classified under
G06T 9/002 Physics & computingG06F 18/214 Physics & computingG06N 3/08 Physics & computingG06T 7/11 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.