3D digital avatar generation from a single or few portrait images
US12406422B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 16, 2023 |
| Grant date | Sep 2, 2025 |
| Priority date | — |
| Expiry date | Jan 11, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2219/2021
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method for generating a digital avatar from a two-dimensional input image in accordance with a machine learning models is provided. The machine learning models are generative adversarial networks trained to process a latent code into three-dimensional data and color data. A generative adversarial network (GAN) inversion optimization algorithm is run on the first machine learning model to map the input image to a latent code for the first machine learning model. The latent code is used to generate unstructured 3D data and color information. A GAN inversion optimization algorithm is then run on the second machine learning model to determine a latent code for the second machine learning model, based at least on the output of the first machine learning model. The latent code for the second machine learning model is then used to generate the data for the digital avatar.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.