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Hyper-reduced projective dynamics

Published: 30 July 2018 Publication History

Abstract

We present a method for the real-time simulation of deformable objects that combines the robustness, generality, and high performance of Projective Dynamics with the efficiency and scalability offered by model reduction techniques. The method decouples the cost for time integration from the mesh resolution and can simulate large meshes in real-time. The proposed hyper-reduction of Projective Dynamics combines a novel fast approximation method for constraint projections and a scalable construction of sparse subspace bases. The resulting system achieves real-time rates for large sub-spaces enabling rich dynamics and can resolve general user interactions, collision constraints, external forces and changes to the materials. The construction of the hyper-reduced system does not require user-interaction and refrains from using training data or modal analysis, which results in a fast preprocessing stage.

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Published In

cover image ACM Transactions on Graphics
ACM Transactions on Graphics  Volume 37, Issue 4
August 2018
1670 pages
ISSN:0730-0301
EISSN:1557-7368
DOI:10.1145/3197517
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 30 July 2018
Published in TOG Volume 37, Issue 4

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Author Tags

  1. model reduction
  2. projective dynamics
  3. real-time simulation
  4. reduced-order model
  5. subspace dynamics

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  • (2024)SparseSoftDECA — Efficient high-resolution physics-based facial animation from sparse landmarksComputers & Graphics10.1016/j.cag.2024.103903119(103903)Online publication date: Apr-2024
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