Automatic generation of transformations of formatted templates using deep learning modeling
US11900052B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 11, 2020 |
| Grant date | Feb 13, 2024 |
| Priority date | — |
| Expiry date | Jun 12, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/047
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure applies trained artificial intelligence (AI) processing adapted to automatically generating transformations of formatted templates. Pre-existing formatted templates (e.g., slide-based presentation templates) are leveraged by the trained AI processing to automatically generate a plurality of high-quality template transformations. In transforming a formatted template, the trained AI processing not only generates feature transformation of objects thereof but may also provide style transformations where attributes associated with a presentation theme may be modified for a formatted template or set of formatted templates. The trained AI processing is novel in that it is tailored for analysis of feature data of a specific type of formatted template. The trained AI processing converts a formatted template into a feature vector and utilizes conditioned generative modeling to generate one or more transformed templates using a representation of the feature data and feature data from one or more other formatted templates.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.