Systems and methods for generating voxel-based three-dimensional objects in a virtual space based on natural language processing (NLP) of a user-provided description
US11568600B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 22, 2021 |
| Grant date | Jan 31, 2023 |
| Priority date | — |
| Expiry date | Nov 22, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2200/24
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for using natural language processing (NLP) to automatically generate three-dimensional objects in a virtual space are disclosed. Exemplary implementations may: obtain three-dimensional objects using a three-dimensional voxelized format; encode those objects, using a variational autoencoder, into pairs of vectors that are subsequently sampled; decode the sampled vectors; determine loss information for the decoded voxelized three-dimensional objects; use the loss information to train the variational autoencoder; fine-tune a pretrained text-based system; receive user input describing a three-dimensional object; generate a vector from the user input; decode the vector into a voxelized three-dimensional object; present the voxelized three-dimensional object to the user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.