Generating digital images in new contexts while preserving color and composition using diffusion neural networks
US12361607B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Sep 19, 2023 |
| Grant date | Jul 15, 2025 |
| Priority date | — |
| Expiry date | Mar 13, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20221
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to systems, methods, and non-transitory computer readable media for generating digital images utilizing a diffusion neural network to preserve color harmony and image composition from a sample digital image while modifying image content. In some embodiments, the disclosed systems receive, via user input, a text prompt defining query image content and a sample digital image depicting a color harmony. In some cases, the disclosed systems generate a blurred digital image by blurring pixels of the sample digital image while preserving the color harmony. In some embodiments, the disclosed systems generate, utilizing a diffusion neural network, a modified digital image depicting the query image content having the color harmony of the sample digital image by denoising the blurred digital image toward a noise vector of the text prompt.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.