7 citations · 37 across the 50 of their papers we have counts for
Showing 2023Show all
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cs.CE2023★ 4 cited
Unstructured Moving Least Squares Material Point Methods: A Stable Kernel Approach With Continuous Gradient Reconstruction on General Unstructured Tessellations
Yadi Cao, Yidong Zhao, Minchen Li +4
The Material Point Method (MPM) is a hybrid Eulerian Lagrangian simulation technique for solid mechanics with significant deformation. Structured background grids are commonly empl…
cs.CV2023★ 2 cited
PIE-NeRF: Physics-based Interactive Elastodynamics with NeRF
Yutao Feng, Yintong Shang, Xuan Li +3
We show that physics-based simulations can be seamlessly integrated with NeRF to generate high-quality elastodynamics of real-world objects. Unlike existing methods, we discretize…
cs.GR2023★ 5 cited
PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics
Tianyi Xie, Zeshun Zong, Yuxing Qiu +4
We introduce PhysGaussian, a new method that seamlessly integrates physically grounded Newtonian dynamics within 3D Gaussians to achieve high-quality novel motion synthesis. Employ…