| Autor: |
Castellon, Joel, Bächer, Moritz, McCrory, Matt, Ayala, Alfredo, Stolarz, Jeremy, Mitchell, Kenny |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
|
| ISSN: |
2331-7418 |
| Popis: |
We present a practical neural computational approach for interactive design of Audio-Animatronic® facial performances. An offline quasi-static reference simulation, driven by a coupled mechanical assembly, accurately predicts hyperelastic skin deformations. To achieve interactive digital pose design, we train a shallow, fully connected neural network (KSNN) on input motor activations to solve the simulated mesh vertex positions. Our fully automatic synthetic training algorithm enables a first-of-its-kind learning active learning framework (GEN-LAL) for generative modeling of facial pose simulations. With adaptive selection, we significantly reduce training time to within half that of the unmodified training approach for each new Audio-Animatronic® figure. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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