Attribute decorrelation techniques for image editing
US11875221B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 7, 2021 |
| Grant date | Jan 16, 2024 |
| Priority date | — |
| Expiry date | Mar 7, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2210/22
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods generate a filtering function for editing an image with reduced attribute correlation. An image editing system groups training data into bins according to a distribution of a target attribute. For each bin, the system samples a subset of the training data based on a pre-determined target distribution of a set of additional attributes in the training data. The system identifies a direction in the sampled training data corresponding to the distribution of the target attribute to generate a filtering vector for modifying the target attribute in an input image, obtains a latent space representation of an input image, applies the filtering vector to the latent space representation of the input image to generate a filtered latent space representation of the input image, and provides the filtered latent space representation as input to a neural network to generate an output image with a modification to the target attribute.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.