Detail-preserving image editing techniques
US11907839B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 7, 2021 |
| Grant date | Feb 20, 2024 |
| Priority date | — |
| Expiry date | Aug 5, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2210/22
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods combine an input image with an edited image generated using a generator neural network to preserve detail from the original image. A computing system provides an input image to a machine learning model to generate a latent space representation of the input image. The system provides the latent space representation to a generator neural network to generate a generated image. The system generates multiple scale representations of the input image, as well as multiple scale representations of the generated image. The system generates a first combined image based on first scale representations of the images and a first value. The system generates a second combined image based on second scale representations of the images and a second value. The system blends the first combined image with the second combined image to generate an output image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.