Synthesizing digital images utilizing image-guided model inversion of an image classifier
US11842468B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 18, 2021 |
| Grant date | Dec 12, 2023 |
| Priority date | — |
| Expiry date | Nov 5, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/759
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
This disclosure describes methods, non-transitory computer readable storage media, and systems that utilize image-guided model inversion of an image classifier with a discriminator. The disclosed systems utilize a neural network image classifier to encode features of an initial image and a target image. The disclosed system also reduces a feature distance between the features of the initial image and the features of the target image at a plurality of layers of the neural network image classifier by utilizing a feature distance regularizer. Additionally, the disclosed system reduces a patch difference between image patches of the initial image and image patches of the target image by utilizing a patch-based discriminator with a patch consistency regularizer. The disclosed system then generates a synthesized digital image based on the constrained feature set and constrained image patches of the initial image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.