Generating realistic animations for digital animation characters utilizing a generative adversarial network and a hip motion prediction network
US10964084B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 25, 2019 |
| Grant date | Mar 30, 2021 |
| Priority date | — |
| Expiry date | Jun 25, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T13/40
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to systems, methods, and non-transitory computer readable media for generating a digital animation of a digital animation character by utilizing a generative adversarial network and a hip motion prediction network. For example, the disclosed systems can utilize an unconditional generative adversarial network to generate a sequence of local poses of a digital animation character based on an input of a random code vector. The disclosed systems can also utilize a conditional generative adversarial network to generate a sequence of local poses based on an input of a set of keyframes. Based on the sequence of local poses, the disclosed systems can utilize a hip motion prediction network to generate a sequence of global poses based on hip velocities. In addition, the disclosed systems can generate an animation of a digital animation character based on the sequence of global poses.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.