Web-based digital image editing in real time utilizing a latent vector stream renderer and an image modification neural network
US11727614B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 23, 2021 |
| Grant date | Aug 15, 2023 |
| Priority date | — |
| Expiry date | Sep 16, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T11/203
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure describes systems, methods, and non-transitory computer readable media for detecting user interactions to edit a digital image from a client device and modify the digital image for the client device by using a web-based intermediary that modifies a latent vector of the digital image and an image modification neural network to generate a modified digital image from the modified latent vector. In response to user interaction to modify a digital image, for instance, the disclosed systems modify a latent vector extracted from the digital image to reflect the requested modification. The disclosed systems further use a latent vector stream renderer (as an intermediary device) to generate an image delta that indicates a difference between the digital image and the modified digital image. The disclosed systems then provide the image delta as part of a digital stream to a client device to quickly render the modified digital image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.