Google patents image repair using multiple data types
Google has filed a patent for a system that fixes damaged or low-quality images. It uses a type of artificial intelligence called a diffusion model that looks at different aspects of the picture, or modalities, to guide the repair process.
In the filing’s own words
This specification describes techniques, systems, and methods for using a diffusion neural network conditioned on multiple modalities of the input image to perform an image restoration task.
What exactly they claim (claim 1)
1. A method performed by one or more computers, the method comprising: receiving an input image; obtaining, for each of a plurality of modalities, a respective context input belonging to the modality and characterizing the input image; and performing an image restoration task on the input image by generating a restored image from the input image using an image restoration neural network that is conditioned on the respective context inputs for the plurality of modalities.
Facts
- Company
- Google (Google LLC)
- Official title
- MULTIMODAL IMAGE RESTORATION
- Publication number
- US20260330607A1
- Application number
- 19556769
- Filed
- Mar 4, 2026
- Published
- Oct 22, 2026
- Inventors
- 5
- Claims
- 20
Classified under
G06T 5/60 Physics & computingG06T 5/70 Physics & computingG06T 7/11 Physics & computingG06T 7/13 Physics & computingG06T 7/50 Physics & computingG06T 2207/20084 Physics & computingMore from Google 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.