Affiliation:
1. Massachusetts Institute of Technology, Cambridge, United States
2. University of Southern California, Los Angeles, United States
Abstract
We introduce a framework for solving a class of parabolic partial differential equations on triangle mesh surfaces, including the Hamilton-Jacobi equation and the Fokker-Planck equation. PDE in this class often have nonlinear or stiff terms that cannot be resolved with standard methods on curved triangle meshes. To address this challenge, we leverage a splitting integrator combined with a convex optimization step to solve these PDE. Our machinery can be used to compute entropic approximation of optimal transport distances on geometric domains, overcoming the numerical limitations of the state-of-the-art method. In addition, we demonstrate the versatility of our method on a number of linear and nonlinear PDE that appear in diffusion and front propagation tasks in geometry processing.
Funder
Schwarzman College of Computing Fellowship
Google Inc. and the MathWorks Fellowship
Swiss National Science Foundation’s Early Postdoc.Mobility Fellowship
Army Research Office
Air Force Office of Scientific Research
National Science Foundation
CSAIL Systems that Learn program
MIT–IBM Watson AI Laboratory
Toyota–CSAIL Joint Research Center
Adobe Systems
Google Research Scholar award
Publisher
Association for Computing Machinery (ACM)