2 citations · 2 across the 3 of their papers we have counts for
4 papers
Learning Convex Decomposition via Feature Fields
Yuezhi Yang, Qixing Huang, Mikaela Angelina Uy +1
This work proposes a new formulation to the long-standing problem of convex decomposition through learning feature fields, enabling the first feed-forward model for open-world conv…
Uniform Sampling of Surfaces by Casting Rays
Selena Ling, Abhishek Madan, Nicholas Sharp +1
Randomly sampling points on surfaces is an essential operation in geometry processing. This sampling is computationally straightforward on explicit meshes, but it is much more diff…
Stochastic Barnes-Hut Approximation for Fast Summation on the GPU
Abhishek Madan, Nicholas Sharp, Francis Williams +2
We present a novel stochastic version of the Barnes-Hut approximation. Regarding the level-of-detail (LOD) family of approximations as control variates, we construct an unbiased es…
Neurally Integrated Finite Elements for Differentiable Elasticity on Evolving Domains
Gilles Daviet, Tianchang Shen, Nicholas Sharp +1
We present an elastic simulator for domains defined as evolving implicit functions, which is efficient, robust, and differentiable with respect to both shape and material. This sim…