SlimFliud-Net: Fast Fluid Simulation Using Admm Pruning

Hao Xiang, Songyang Yu, Ping Li, Weiguang Li, Enhua Wu, Bin Sheng 0001. SlimFliud-Net: Fast Fluid Simulation Using Admm Pruning. In Nadia Magnenat-Thalmann, Jian Zhang, Jinman Kim, George Papagiannakis, Bin Sheng 0001, Daniel Thalmann, Marina L. Gavrilova, editors, Advances in Computer Graphics - 39th Computer Graphics International Conference, CGI 2022, Virtual Event, September 12-16, 2022, Proceedings. Volume 13443 of Lecture Notes in Computer Science, pages 582-593, Springer, 2022. [doi]

@inproceedings{XiangYLLWS22,
  title = {SlimFliud-Net: Fast Fluid Simulation Using Admm Pruning},
  author = {Hao Xiang and Songyang Yu and Ping Li and Weiguang Li and Enhua Wu and Bin Sheng 0001},
  year = {2022},
  doi = {10.1007/978-3-031-23473-6_45},
  url = {https://doi.org/10.1007/978-3-031-23473-6_45},
  researchr = {https://researchr.org/publication/XiangYLLWS22},
  cites = {0},
  citedby = {0},
  pages = {582-593},
  booktitle = {Advances in Computer Graphics - 39th Computer Graphics International Conference, CGI 2022, Virtual Event, September 12-16, 2022, Proceedings},
  editor = {Nadia Magnenat-Thalmann and Jian Zhang and Jinman Kim and George Papagiannakis and Bin Sheng 0001 and Daniel Thalmann and Marina L. Gavrilova},
  volume = {13443},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-23473-6},
}