Towards Realtime: A Hybrid Physics-based Method for Hair Animation on GPU
Date
2023Author
Huang, Li
Yang, Fan
Wie, Chendi
Chen, Yu Ju (Edwin)
Yuan, Chun
Gao, Ming
Metadata
Show full item recordAbstract
This paper introduces a hair simulator optimized for real-time applications, including console and cloud gaming, avatar live-streaming, and metaverse environments. We view the collisions between strands as a mechanism to preserve the overall volume of the hair and adopt explicit Material Point Method (MPM) to resolve the strand-strand collision. For simulating single-strand behavior, a semi-implicit Discrete Elastic Rods (DER) model is used. We build upon a highly efficient GPU MPM framework recently presented by Fei et al. [2021b] and propose several schemes to largely improve the performance of building and solving the semi-implicit DER systems on GPU. We demonstrate the efficiency of our pipeline by a few practical scenes that achieve up to 260 frames-per-second (FPS) with more than two thousand simulated strands on Nvidia GeForce RTX 3080.
BibTeX
@inproceedings {10.1145:3606937,
booktitle = {Proceedings of the ACM on Computer Graphics and Interactive Techniques},
editor = {Wang, Huamin and Ye, Yuting and Victor Zordan},
title = {{Towards Realtime: A Hybrid Physics-based Method for Hair Animation on GPU}},
author = {Huang, Li and Yang, Fan and Wie, Chendi and Chen, Yu Ju (Edwin) and Yuan, Chun and Gao, Ming},
year = {2023},
publisher = {ACM Association for Computing Machinery},
ISSN = {2577-6193},
DOI = {10.1145/3606937}
}
booktitle = {Proceedings of the ACM on Computer Graphics and Interactive Techniques},
editor = {Wang, Huamin and Ye, Yuting and Victor Zordan},
title = {{Towards Realtime: A Hybrid Physics-based Method for Hair Animation on GPU}},
author = {Huang, Li and Yang, Fan and Wie, Chendi and Chen, Yu Ju (Edwin) and Yuan, Chun and Gao, Ming},
year = {2023},
publisher = {ACM Association for Computing Machinery},
ISSN = {2577-6193},
DOI = {10.1145/3606937}
}