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20242026
most citedAn Eulerian Vortex Method on Flow Maps

13 citations · 18 across the 9 of their papers we have counts for

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6 papers · 1 filter

cs.GR2026

Hamiltonian Two-Way Coupling of Nonlinear Waves and 3D Flows

Sinan Wang, Ruicheng Wang, Taiyuan Zhang +5

Simulating large-scale free-surface water by coupling a localized 3D fluid solver to a cheaper 2D surface model has long faced a mismatch in wave dynamics: efficient 2D wave models…

cs.GR2026

Generative Modeling with Orbit-Space Particle Flow Matching

Sinan Wang, Jinjin He, Shenyifan Lu +3

We present Orbit-Space Geometric Probability Paths (OGPP), a particle-native flow-matching framework for generative modeling of particle systems. OGPP is motivated by two insights:…

cs.GR20255 cited

Fluid Simulation on Vortex Particle Flow Maps

Sinan Wang, Junwei Zhou, Fan Feng +5

We propose the Vortex Particle Flow Map (VPFM) method to simulate incompressible flow with complex vortical evolution in the presence of dynamic solid boundaries. The core insight…

cs.GR202413 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

SENC: Handling Self-collision in Neural Cloth Simulation

Zhouyingcheng Liao, Sinan Wang, Taku Komura

We present SENC, a novel self-supervised neural cloth simulator that addresses the challenge of cloth self-collision. This problem has remained unresolved due to the gap in simulat…

cs.GR202413 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…