AutoInvent
Turn abandoned patents
into your own filing
Get Started
Patent drawing for Utilizing a generative machine learning model to create modified digital images from an infill semantic map
US 12,333,691 B2
Computing US 12,333,691 B2 Not in force

Utilizing a generative machine learning model to create modified digital images from an infill semantic map

This invention describes a way to change digital images using artificial intelligence. It works by first creating a detailed map of an image that labels what each part of the picture represents, like a person or a background. Then, it uses specialized AI models called diffusion neural networks, one to process this semantic map and another to generate a new, modified image based on the changes suggested by the map.

Why it matters: Since its filing in 2023, the capabilities and efficiency of diffusion neural networks, particularly for semantic image manipulation and conditioning, have advanced significantly. This makes the specific two-stage diffusion process described, involving both semantic map and image diffusion networks, more practical and performant to implement today.

Status
Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build
SpecializedComplex AI model development and training

3 AI reinvention directions for this patent

See all three

AI gives you a few directions you could take this. Pick one, and we check whether your version is different enough to patent, then write the filing.

Reinvent this with AI

Where this one came from

Every morning we go through millions of abandoned patents and pick out 15 worth your time. This was one of today’s.