Multi-scale output techniques for generative adversarial networks
US12333427B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 23, 2021 |
| Grant date | Jun 17, 2025 |
| Priority date | — |
| Expiry date | Apr 14, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2210/22
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An improved system architecture uses a Generative Adversarial Network (GAN) including a specialized generator neural network to generate multiple resolution output images. The system produces a latent space representation of an input image. The system generates a first output image at a first resolution by providing the latent space representation of the input image as input to a generator neural network comprising an input layer, an output layer, and a plurality of intermediate layers and taking the first output image from an intermediate layer, of the plurality of intermediate layers of the generator neural network. The system generates a second output image at a second resolution different from the first resolution by providing the latent space representation of the input image as input to the generator neural network and taking the second output image from the output layer of the generator neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.