activity
20202024
most citedFluid Simulation on Neural Flow Maps

38 citations · 80 across the 8 of their papers we have counts for

collaborators

8 papers

cs.GR2024★ 13 cited

An Eulerian Vortex Method on Flow Maps

Sinan Wang, Yitong Deng, Molin Deng +6

We present an Eulerian vortex method based on the theory of flow maps to simulate the complex vortical motions of incompressible fluids. Central to our method is the novel incorpor…

cs.GR2024★ 13 cited

Eulerian-Lagrangian Fluid Simulation on Particle Flow Maps

Junwei Zhou, Duowen Chen, Molin Deng +5

We propose a novel Particle Flow Map (PFM) method to enable accurate long-range advection for incompressible fluid simulation. The foundation of our method is the observation that…

cs.GR2023★ 38 cited

Fluid Simulation on Neural Flow Maps

Yitong Deng, Hong-Xing Yu, Diyang Zhang +2

We introduce Neural Flow Maps, a novel simulation method bridging the emerging paradigm of implicit neural representations with fluid simulation based on the theory of flow maps, t…

cs.CV2023★ 3 cited

Inferring Hybrid Neural Fluid Fields from Videos

Hong-Xing Yu, Yang Zheng, Yuan Gao +3

We study recovering fluid density and velocity from sparse multiview videos. Existing neural dynamic reconstruction methods predominantly rely on optical flows; therefore, they can…

cs.LG2023★ 3 cited

Learning Vortex Dynamics for Fluid Inference and Prediction

Yitong Deng, Hong-Xing Yu, Jiajun Wu +1

We propose a novel differentiable vortex particle (DVP) method to infer and predict fluid dynamics from a single video. Lying at its core is a particle-based latent space to encaps…

physics.flu-dyn2021★ 2 cited

Thin-Film Smoothed Particle Hydrodynamics Fluid

Mengdi Wang, Yitong Deng, Xiangxin Kong +3

We propose a particle-based method to simulate thin-film fluid that jointly facilitates aggressive surface deformation and vigorous tangential flows. We build our dynamics model fr…

cs.RO2020★ 3 cited

Soft Multicopter Control using Neural Dynamics Identification

Yitong Deng, Yaorui Zhang, Xingzhe He +5

Dynamic control of a soft-body robot to deliver complex behaviors with low-dimensional actuation inputs is challenging. In this paper, we present a computational approach to automa…

physics.comp-ph2020★ 5 cited

Neural Vortex Method: from Finite Lagrangian Particles to Infinite Dimensional Eulerian Dynamics

Shiying Xiong, Xingzhe He, Yunjin Tong +2

In the field of fluid numerical analysis, there has been a long-standing problem: lacking of a rigorous mathematical tool to map from a continuous flow field to discrete vortex par…