Training and deployment of image generation models
US11995803B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 30, 2023 |
| Grant date | May 28, 2024 |
| Priority date | — |
| Expiry date | Nov 30, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In some embodiments, a method receives a text prompt and executes a text encoder on the text prompt to generate an embedding representation. A set of base images is generated based on the embedding representation and parameters of a base image generation model. A high resolution model is executed to upsample one or more base images in the set of base images based on parameters of the high resolution model to generate a set of final images. The method ranks the set of base images or the set of final images using reward values that are generated by a reward model. The reward model is trained using human input that provided feedback on a quality of generated images using the base image generation model and the high resolution model. One or more final images are output based on the ranking in response to the text prompt.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.