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John Edholm

dblp:246/4138 · also John Johansson · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2022
0000-0003-1389-7286ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
2 papers
Computer animation and physical simulation · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer animation and physical simulation
fluid simulation
1.022022
Loki: a unified multiphysics simulation framework for production · ACM Trans. Graph. 2022
Wave curves: simulating lagrangian water waves on dynamically deforming surfaces · ACM Trans. Graph. 2020
Computer animation and physical simulation
deformable body simulation
0.612022
Loki: a unified multiphysics simulation framework for production · ACM Trans. Graph. 2022
Computer animation and physical simulation
finite element method
0.612022
Loki: a unified multiphysics simulation framework for production · ACM Trans. Graph. 2022
Computer animation and physical simulation › fluid simulation › eulerian-lagrangian simulation
FLIP method
0.612022
Loki: a unified multiphysics simulation framework for production · ACM Trans. Graph. 2022

Methods — techniques the papers use, named apart from their topics

state machine · 0.6sparse techniques · 0.6linear equation solvers · 0.6MPI · 0.6spline curves · 0.4linear water wave theory · 0.4lagrangian wave packets · 0.4
YearPublicationVenuePosition
2022 Loki: a unified multiphysics simulation framework for production
abstract
We introduce Loki, a new framework for robust simulation of fluid, rigid, and deformable objects with non-compromising fidelity on any single element, and capabilities for coupling and representation transitions across multiple elements. Loki adapts multiple best-in-class solvers into a unified framework driven by a declarative state machine where users declare 'what' is simulated but not 'when,' so an automatic scheduling system takes care of mixing any combination of objects. This leads to intuitive setups for coupled simulations such as hair in the wind or objects transitioning from one representation to another, for example bulk water FLIP particles to SPH spray particles to volumetric mist. We also provide a consistent treatment for components used in several domains, such as unified collision and attachment constraints across 1D, 2D, 3D deforming and rigid objects. Distribution over MPI, custom linear equation solvers, and aggressive application of sparse techniques keep performance within production requirements. We demonstrate a variety of solvers within the framework and their interactions, including FLIPstyle liquids, spatially adaptive volumetric fluids, SPH, MPM, and mesh-based solids, including but not limited to discrete elastic rods, elastons, and FEM with state-of-the-art constitutive models. Our framework has proven powerful and intuitive enough for voluntary artist adoption and has delivered creature and FX simulations for multiple major movie productions in the preceding four years.
Steve Lesser, Alexey Stomakhin, Gilles Daviet, Joel Wretborn, John Edholm, Noh-Hoon Lee, Eston Schweickart, Xiao Zhai, Sean Flynn, Andrew Moffat
ACM Trans. Graph.5
2020 Wave curves: simulating lagrangian water waves on dynamically deforming surfaces
abstract
We propose a method to enhance the visual detail of a water surface simulation. Our method works as a post-processing step which takes a simulation as input and increases its apparent resolution by simulating many detailed Lagrangian water waves on top of it. We extend linear water wave theory to work in non-planar domains which deform over time, and we discretize the theory using Lagrangian wave packets attached to spline curves. The method is numerically stable and trivially parallelizable, and it produces high frequency ripples with dispersive wave-like behaviors customized to the underlying fluid simulation.
Tomás Skrivan, Andreas Söderström, John Edholm, Christoph Sprenger 0003, Ken Museth, Christopher Wojtan
ACM Trans. Graph.3