Image inversion using multiple latent spaces
US12159413B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 14, 2022 |
| Grant date | Dec 3, 2024 |
| Priority date | — |
| Expiry date | Jun 30, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In implementations of systems for image inversion using multiple latent spaces, a computing device implements an inversion system to generate a segment map that segments an input digital image into a first image region and a second image region and assigns the first image region to a first latent space and the second image region to a second latent space that corresponds to a layer of a convolutional neural network. An inverted latent representation of the input digital image is computed using a binary mask for the second image region. The inversion system modifies the inverted latent representation of the input digital image using an edit direction vector that corresponds to a visual feature. An output digital image is generated that depicts a reconstruction of the input digital image having the visual feature based on the modified inverted latent representation of the input digital image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.