4 citations · 4 across the 11 of their papers we have counts for
11 papers
JODA: Composable Joint Dynamics for Articulated Objects
Tianhong Gao, Cheng Yu, Yinghao Xu +1
Articulated objects used in simulation and embodied AI are typically specified by geometry and kinematic structure, but lack the fine-grained dynamical effects that govern realisti…
LagrangianSplats: Divergence-Free Transport of Gaussian Primitives for Fluid Reconstruction
Ningxiao Tao, Baoquan Chen, Mengyu Chu
Reconstructing 3D fluid velocity fields from sparse 2D video observations is a highly ill-posed inverse problem, demanding both transport consistency with observed motion and physi…
LoBoFit: Flexible Garment Refitting via Local Bone Mapping Blending
Meng Zhang, Yu Xin, Feiya Guo +3
Garment refitting, the task of adapting a garment from a source to a target avatar, must preserve the original design features and fine-scale wrinkles, a challenge exacerbated by s…
FieryGS: In-the-Wild Fire Synthesis with Physics-Integrated Gaussian Splatting
Qianfan Shen, Ningxiao Tao, Qiyu Dai +6
We consider the problem of synthesizing photorealistic, physically plausible combustion effects in in-the-wild 3D scenes. Traditional CFD and graphics pipelines can produce realist…
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…
RainyGS: Efficient Rain Synthesis with Physically-Based Gaussian Splatting
Qiyu Dai, Xingyu Ni, Qianfan Shen +3
We consider the problem of adding dynamic rain effects to in-the-wild scenes in a physically-correct manner. Recent advances in scene modeling have made significant progress, with…
VR-Doh: Hands-on 3D Modeling in Virtual Reality
Zhaofeng Luo, Zhitong Cui, Shijian Luo +2
We introduce VR-Doh, an open-source, hands-on 3D modeling system that enables intuitive creation and manipulation of elastoplastic objects in Virtual Reality (VR). By customizing t…
Physics-Informed Learning of Characteristic Trajectories for Smoke Reconstruction
Yiming Wang, Siyu Tang, Mengyu Chu
We delve into the physics-informed neural reconstruction of smoke and obstacles through sparse-view RGB videos, tackling challenges arising from limited observation of complex dyna…
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…