Enhanced photo relighting based on machine learning models
US12412255B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 17, 2021 |
| Grant date | Sep 9, 2025 |
| Priority date | — |
| Expiry date | Jan 17, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30201
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Apparatus and methods related to applying lighting models to images of objects are provided. An example method includes applying a geometry model to an input image to determine a surface orientation map indicative of a distribution of lighting on an object based on a surface geometry. The method further includes applying an environmental light estimation model to the input image to determine a direction of synthetic lighting to be applied to the input image. The method also includes applying, based on the surface orientation map and the direction of synthetic lighting, a light energy model to determine a quotient image indicative of an amount of light energy to be applied to each pixel of the input image. The method additionally includes enhancing, based on the quotient image, a portion of the input image. One or more neural networks can be trained to perform one or more of the aforementioned aspects.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.