Controlling a neural network through intermediate latent spaces
US11657255B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 21, 2020 |
| Grant date | May 23, 2023 |
| Priority date | — |
| Expiry date | Jul 15, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/105
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A generative neural network control system controls a generative neural network by modifying the intermediate latent space in the generative neural network. The generative neural network includes multiple layers each generating a set of activation values. An initial layer (and optionally additional layers) receives an input latent vector, and a final layer outputs an image generated based on the input latent vector. The data that is input to each layer (other than the initial layer) is referred to as data in an intermediate latent space. The data in the intermediate latent space includes activation values (e.g., generated by the previous layer or modified using various techniques) and optionally a latent vector. The generative neural network control system modifies the intermediate latent space to achieve various different effects when generating a new image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.