Generating animated digital videos utilizing a character animation neural network informed by pose and motion embeddings
US12067659B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 15, 2021 |
| Grant date | Aug 20, 2024 |
| Priority date | — |
| Expiry date | Jun 23, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30196
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to systems, non-transitory computer-readable media, and method that utilize a character animation neural network informed by motion and pose signatures to generate a digital video through person-specific appearance modeling and motion retargeting. In particular embodiments, the disclosed systems implement a character animation neural network that includes a pose embedding model to encode a pose signature into spatial pose features. The character animation neural network further includes a motion embedding model to encode a motion signature into motion features. In some embodiments, the disclosed systems utilize the motion features to refine per-frame pose features and improve temporal coherency. In certain implementations, the disclosed systems also utilize the motion features to demodulate neural network weights used to generate an image frame of a character in motion based on the refined pose features.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.