Multi-objective adversarial gesture generation-Reference-Cited by-同舟云学术

Multi-objective adversarial gesture generation

Published:2019-10-28 Issue: Volume: Page:
ISSN:
Container-title:Motion, Interaction and Games
language:
Short-container-title:

Author:

Ferstl Ylva¹,Neff Michael²,McDonnell Rachel¹

Affiliation:

1. Trinity College Dublin

2. University of California, Davis

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3359566.3360053

Reference48 articles.

1. Isabela Albuquerque João Monteiro Thang Doan Breandan Considine Tiago Falk and Ioannis Mitliagkas. 2019. Multi-objective training of Generative Adversarial Networks with multiple discriminators. arXiv preprint arXiv:1901.08680(2019). Isabela Albuquerque João Monteiro Thang Doan Breandan Considine Tiago Falk and Ioannis Mitliagkas. 2019. Multi-objective training of Generative Adversarial Networks with multiple discriminators. arXiv preprint arXiv:1901.08680(2019).

2. Automatic annotation of gestural units in spontaneous face-to-face interaction

3. HP-GAN: Probabilistic 3D Human Motion Prediction via GAN

4. Kirsten Bergmann and Stefan Kopp. 2009a. GNetIc - Using bayesian decision networks for iconic gesture generation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5773 LNAI (2009) 76–89. https://doi.org/10.1007/978-3-642-04380-2_12 Kirsten Bergmann and Stefan Kopp. 2009a. GNetIc - Using bayesian decision networks for iconic gesture generation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5773 LNAI (2009) 76–89. https://doi.org/10.1007/978-3-642-04380-2_12

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