2 citations · 2 across the 3 of their papers we have counts for
5 papers
Simulation Methods for Multiphysics Phenomena in Visual Computing
Fabian Löschner, Stefan Rhys Jeske, José Antonio Fernández-Fernández +1
Physics simulation is a cornerstone of many computer graphics applications, ranging from video games and virtual reality to visual effects and computational design. The number of t…
Progressively Projected Newton's Method
José Antonio Fernández-Fernández, Fabian Löschner, Jan Bender
Newton's Method is widely used to find the solution of complex non-linear simulation problems in Computer Graphics. To guarantee a descent direction, it is common practice to clamp…
Implicit Incompressible Porous Flow using SPH
Timna Böttcher, Stefan Rhys Jeske, Lukas Westhofen +1
We present a novel implicit porous flow solver using SPH, which maintains fluid incompressibility and is able to model a wide range of scenarios, driven by strongly coupled solid-f…
Pitfalls of Projection: A study of Newton-type solvers for incremental potentials
Andreas Longva, Fabian Löschner, José Antonio Fernández-Fernández +3
Nonlinear systems arising from time integrators like Backward Euler can sometimes be reformulated as optimization problems, known as incremental potentials. We show through a compr…
HYVE: Hybrid Vertex Encoder for Neural Distance Fields
Stefan Rhys Jeske, Jonathan Klein, Dominik L. Michels +1
Neural shape representation generally refers to representing 3D geometry using neural networks, e.g., computing a signed distance or occupancy value at a specific spatial position.…