4 papers
DDFKs: Fluid Simulation with Dynamic Divergence-Free Kernels
Jingrui Xing, Yizao Tang, Mengyu Chu +1
Fluid simulations based on memory-efficient spatial representations like implicit neural spatial representations (INSRs) and Gaussian spatial representation (GSR), where the veloci…
FlowCapX: Physics-Grounded Flow Capture with Long-Term Consistency
Ningxiao Tao, Liru Zhang, Xingyu Ni +2
We present FlowCapX, a physics-enhanced framework for flow reconstruction from sparse video inputs, addressing the challenge of jointly optimizing complex physical constraints and…
Representing Flow Fields with Divergence-Free Kernels for Reconstruction
Xingyu Ni, Jingrui Xing, Xingqiao Li +2
Accurately reconstructing continuous flow fields from sparse or indirect measurements remains an open challenge, as existing techniques often suffer from oversmoothing artifacts, r…
The Granule-In-Cell Method for Simulating Sand--Water Mixtures
Yizao Tang, Yuechen Zhu, Xingyu Ni +1
The simulation of sand--water mixtures requires capturing the stochastic behavior of individual sand particles within a uniform, continuous fluid medium, such as the characteristic…