204 citations · 378 across the 20 of their papers we have counts for
9 papers · 1 filter
Learning Deformable Tetrahedral Meshes for 3D Reconstruction
Jun Gao, Wenzheng Chen, Tommy Xiang +4
3D shape representations that accommodate learning-based 3D reconstruction are an open problem in machine learning and computer graphics. Previous work on neural 3D reconstruction…
Diffusion Structures for Architectural Stripe Pattern Generation
Abhishek Madan, Alec Jacobson, David I. W. Levin
We present Diffusion Structures, a family of resilient shell structures from the eigenfunctions of a pair of novel diffusion operators. This approach is based on Michell's theorem…
Chordal Decomposition for Spectral Coarsening
Honglin Chen, Hsueh-Ti Derek Liu, Alec Jacobson +1
We introduce a novel solver to significantly reduce the size of a geometric operator while preserving its spectral properties at the lowest frequencies. We use chordal decompositio…
Complementary Dynamics
Jiayi Eris Zhang, Seungbae Bang, David I. W. Levin +1
We present a novel approach to enrich arbitrary rig animations with elastodynamic secondary effects. Unlike previous methods which pit rig displacements and physical forces as adve…
On the Effectiveness of Weight-Encoded Neural Implicit 3D Shapes
Thomas Davies, Derek Nowrouzezahrai, Alec Jacobson
A neural implicit outputs a number indicating whether the given query point in space is inside, outside, or on a surface. Many prior works have focused on _latent-encoded_ neural i…
Least-Squares Affine Reflection Using Eigen Decomposition
Alec Jacobson
This note summarizes the steps to computing the best-fitting affine reflection that aligns two sets of corresponding points.