DenseGATs: A Graph-Attention-Based Network for Nonlinear Character Deformation-Reference-Cited by-同舟云学术

DenseGATs: A Graph-Attention-Based Network for Nonlinear Character Deformation

Published:2020-05-04 Issue: Volume: Page:
ISSN:
Container-title:Symposium on Interactive 3D Graphics and Games
language:
Short-container-title:

Author:

Li Tianxing¹,Shi Rui²,Kanai Takashi²

Affiliation:

1. The University of Tokyo, Japan

2. The University of Tokyo

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3384382.3384525

Reference28 articles.

1. Nesreen K. Ahmed Ryan A. Rossi Rong Zhou John Boaz Lee Xiangnan Kong Theodore L. Willke and Hoda Eldardiry. 2017. Inductive Representation Learning in Large Attributed Graphs. arXiv:1710.09471 Nesreen K. Ahmed Ryan A. Rossi Rong Zhou John Boaz Lee Xiangnan Kong Theodore L. Willke and Hoda Eldardiry. 2017. Inductive Representation Learning in Large Attributed Graphs. arXiv:1710.09471

2. Fast and deep deformation approximations

3. Joan Bruna Wojciech Zaremba Arthur Szlam and Yann LeCun. 2013. Spectral Networks and Locally Connected Networks on Graphs. arXiv:1312.6203 Joan Bruna Wojciech Zaremba Arthur Szlam and Yann LeCun. 2013. Spectral Networks and Locally Connected Networks on Graphs. arXiv:1312.6203

4. Learning Nonlinear Soft-Tissue Dynamics for Interactive Avatars

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