3 papers
cs.CE2025
FluidFormer: Transformer with Continuous Convolution for Particle-based Fluid Simulation
Nianyi Wang, Yu Chen, Shuai Zheng
Learning-based fluid simulation networks have been proven as viable alternatives to traditional numerical solvers for the Navier-Stokes equations. Existing neural methods follow Sm…
cs.CV2025
A Pioneering Neural Network Method for Efficient and Robust Fluid Simulation
Yu Chen, Shuai Zheng, Nianyi Wang +2
Fluid simulation is an important research topic in computer graphics (CG) and animation in video games. Traditional methods based on Navier-Stokes equations are computationally exp…
cs.CV2023
DualFluidNet: an Attention-based Dual-pipeline Network for FLuid Simulation
Yu Chen, Shuai Zheng, Menglong Jin +2
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 l…