3 papers
cs.GR2026
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…
cs.GR2026
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…
cs.GR2025
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…