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Poster
:
19. Multi-Task Audio-Driven Facial Animation
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Session TimeSunday, 28 July 20191:30pm - 5:30pmMonday, 29 July 201912:15pm - 1:15pmWednesday, 31 July 201912:15pm - 1:15pm
LocationSouth Hall J
DescriptionPOSTER SESSIONS: MONDAY, 29 JULY and WEDNESDAY, 31 JULY, 12:15-1:15 PM

We propose MulTaNet, a deep neural network to solve the multi-task audio-driven facial animation problem in an end-to-end fashion. Extensive experiments indicate that MulTaNet generates more natural-looking and stable facial animation, while showing better generalization capacity for unseen languages compared to previous approaches.
Contributors
Youngsoo Kim
Netmarble
Shounan An
Netmarble
Youngbak Jo
Netmarble
Seungje Park
Netmarble
Shindong Kang
Netmarble
Insoo Oh
Netmarble
Duke Donghyun Kim
Netmarble
Photography and Recording Policies
P/V Maybe
P/V Yes
Interest Areas
Arts & Design
Registration Levels
XP
F
FP
S
B
E

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