Image processing network search for deep image priors
US11966849B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 20, 2020 |
| Grant date | Apr 23, 2024 |
| Priority date | — |
| Expiry date | Oct 3, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques and systems are provided for configuring neural networks to perform certain image manipulation operations. For instance, in response to obtaining an image for manipulation, an image manipulation system determines the fitness scores for a set of neural networks resulting from the processing of a noise map. Based on these fitness scores, the image manipulation system selects a subset of the set of neural networks for cross-breeding into a new generation of neural networks. The image manipulation system evaluates the performance of this new generation of neural networks and continues cross-breeding this neural networks until a fitness threshold is satisfied. From the final generation of neural networks, the image manipulation system selects a neural network that provides a desired output and uses the neural network to generate the manipulated image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.