184 citations · 805 across the 36 of their papers we have counts for
6 papers · 1 filter
Parallel contact-aware simulations of deformable particles in 3D Stokes flow
Libin Lu, Abtin Rahimian, Denis Zorin
We present a parallel-scalable method for simulating non-dilute suspensions of deformable particles immersed in Stokesian fluid in three dimensions. A critical component in these s…
Perceptual deep depth super-resolution
Oleg Voynov, Alexey Artemov, Vage Egiazarian +4
RGBD images, combining high-resolution color and lower-resolution depth from various types of depth sensors, are increasingly common. One can significantly improve the resolution o…
ABC: A Big CAD Model Dataset For Geometric Deep Learning
Sebastian Koch, Albert Matveev, Zhongshi Jiang +6
We introduce ABC-Dataset, a collection of one million Computer-Aided Design (CAD) models for research of geometric deep learning methods and applications. Each model is a collectio…
Deep Geometric Prior for Surface Reconstruction
Francis Williams, Teseo Schneider, Claudio Silva +3
The reconstruction of a discrete surface from a point cloud is a fundamental geometry processing problem that has been studied for decades, with many methods developed. We propose…
Seamless Parametrization with Arbitrarily Prescribed Cones
Marcel Campen, Hanxiao Shen, Jiaran Zhou +1
Seamless global parametrization of surfaces is a key operation in geometry processing, e.g. for high-quality quad mesh generation. A common approach is to prescribe the parametric…
Poly-Spline Finite Element Method
Teseo Schneider, Jeremie Dumas, Xifeng Gao +3
We introduce an integrated meshing and finite element method pipeline enabling black-box solution of partial differential equations in the volume enclosed by a boundary representat…