Deep learned super resolution for feature film production
US11948274B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 5, 2022 |
| Grant date | Apr 2, 2024 |
| Priority date | — |
| Expiry date | Jul 3, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30168
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method performed by a computer is disclosed. The method comprises receiving color data for input pixels of an input image and an input set of features used to render the input image of a three-dimensional animation environment, wherein the input pixels are of a first resolution. The computer may then load into memory a generator of a generative adversarial network including a neural network used to scale the input image, the neural network trained using training data comprising color data of training input images and training output images and a training set of the features used to render the training input images. After the generator is loaded into memory, the computer may generate an output image having a second resolution that is different than the first resolution by passing the color data and the input set of features through the generator.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.