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Hyper-Reduced Projective Dynamics

Christopher Brandt, Elmar Eisemann, Klaus Hildebrandt

TOG96 citesCFX

This work presents a model-reduction scheme for projective dynamics that accelerates the simulation of deformable objects.

Abstract

This work presents a model-reduction scheme for projective dynamics that accelerates the simulation of deformable objects. It combines subspace reduction of the configuration space with a hyper-reduction of the nonlinear force and constraint terms via a fitted cubature approximation. The resulting solver achieves fast, real-time elastic simulation with controllable accuracy and large speedups over full projective dynamics.

How to read this

Category
Method: a model-reduction scheme for projective dynamics
Contributions
  • Presents a hyper-reduced projective dynamics scheme that accelerates deformable-object simulation
  • Combines subspace reduction of the configuration space with hyper-reduction of nonlinear force and constraint terms via a fitted cubature approximation
  • Achieves fast, real-time elastic simulation with controllable accuracy and large speedups over full projective dynamics
Context
Builds directly on Projective Dynamics (Bouaziz et al. 2014), bringing subspace and cubature-style hyper-reduction (familiar from reduced-order elasticity) to that solver.Builds on: Projective Dynamics: Fusing Constraint Projections for Fast Simulation
Correctness
Accuracy is bounded by the chosen subspace and the fitted cubature sample set, so it is a controllable approximation rather than the full solve; readers should weigh the speed gains against subspace expressiveness for their deformation range.
Clarity
Technical; a first pass conveys the two-stage reduction idea, and a second (and likely third) pass is needed to follow the subspace construction and cubature fitting.
How to read it
Read for how subspace reduction and cubature hyper-reduction are combined; plan a careful second pass on the cubature fitting if you intend to reproduce the speedups.

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