DualFluidNet: an Attention-based Dual-pipeline Network for FLuid Simulation

arXiv:2312.16867v2 Announce Type: replace
Abstract: Fluid motion can be considered as a point cloud transformation when using the SPH method. Compared to traditional numerical analysis methods, using machine learning techniques to learn physics simulations can achieve near-accurate results, while significantly increasing efficiency. In this paper, we propose an innovative approach for 3D fluid simulations utilizing an Attention-based Dual-pipeline Network, which employs a dual-pipeline architecture, seamlessly integrated with an Attention-based Feature Fusion Module. Unlike previous methods, which often make difficult trade-offs …

arxiv attention cs.cv cs.gr network pipeline simulation type