19 citations · 28 across the 6 of their papers we have counts for
6 papers
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…
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…
Simulating Parametric Thin Shells by Bicubic Hermite Elements
Xingyu Ni, Xuwen Chen, Cheng Yu +2
In this study, we present the bicubic Hermite element method (BHEM), a new computational framework devised for the elastodynamic simulation of parametric thin-shell structures. The…
Unsupervised Co-part Segmentation through Assembly
Qingzhe Gao, Bin Wang, Libin Liu +1
Co-part segmentation is an important problem in computer vision for its rich applications. We propose an unsupervised learning approach for co-part segmentation from images. For th…
Solid-Fluid Interaction with Surface-Tension-Dominant Contact
Liangwang Ruan, Jinyuan Liu, Bo Zhu +3
We propose a novel three-way coupling method to model the contact interaction between solid and fluid driven by strong surface tension. At the heart of our physical model is a thin…
Learning Elastic Constitutive Material and Damping Models
Bin Wang, Yuanmin Deng, Paul Kry +3
Commonly used linear and nonlinear constitutive material models in deformation simulation contain many simplifications and only cover a tiny part of possible material behavior. In…