Style‐Controllable Speech‐Driven Gesture Synthesis Using Normalising Flows-Reference-Cited by-同舟云学术

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Style‐Controllable Speech‐Driven Gesture Synthesis Using Normalising Flows

Published:2020-05 Issue:2 Volume:39 Page:487-496
ISSN:0167-7055
Container-title:Computer Graphics Forum
language:en
Short-container-title:Computer Graphics Forum

Author:

Alexanderson Simon¹^ORCID,Henter Gustav Eje¹^ORCID,Kucherenko Taras¹^ORCID,Beskow Jonas¹^ORCID

Affiliation:

1. Division of Speech, Music and Hearing KTH Royal Institute of Technology Stockholm Sweden

Funder

Vetenskapsrådet

Stiftelsen för Strategisk Forskning

Knut och Alice Wallenbergs Stiftelse

Publisher

Wiley

Subject

Computer Graphics and Computer-Aided Design

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/cgf.13946

Reference55 articles.

1. AhujaC. MaS. MorencyL.‐P. SheikhY.: To react or not to react: End‐to‐end visual pose forecasting for personalized avatar during dyadic conversations. InProc. ICMI(2019) pp.74–84. 2

2. AristidouA. ZengQ. StavrakisE. YinK. Cohen‐OrD. ChrysanthouY. ChenB.: Emotion control of unstructured dance movements. InProc. SCA(2017) p.9. 3

3. BrockA. DonahueJ. SimonyanK.: Large scale GAN training for high fidelity natural image synthesis. InProc. ICLR(2019). 3

4. BrandM. HertzmannA.: Style machines. InProc. SIGGRAPH(2000) pp.183–192. 3

5. BergmannK. KoppS.: GNetIc–using Bayesian decision networks for iconic gesture generation. InProc. IVA(2009) pp.76–89. 2

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