6 papers
Adaptive GPU Kinetic Solver for Fluid-Granular Flows
Xingqiao Li, Kui Wu, Haozhe Su +5
Simulating fluid-granular flows is crucial for understanding natural disasters, industrial processes, and visually realistic phenomena in computer graphics. These systems are chall…
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…
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…
Gaussian Fluids: A Grid-Free Fluid Solver based on Gaussian Spatial Representation
Jingrui Xing, Bin Wang, Mengyu Chu +1
We present a grid-free fluid solver featuring a novel Gaussian representation. Drawing inspiration from the expressive capabilities of 3D Gaussian Splatting in multi-view image rec…
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…