Adaptive Physically Based Models in Computer Graphics

Abstract : One of the major challenges in physically-based modeling is making simulations efficient. Adaptive models provide an essential solution to these efficiency goals. These models are able to self-adapt in space and time, attempting to provide the best possible compromise between accuracy and speed. This survey reviews the adaptive solutions proposed so far in computer graphics. Models are classified according to the strategy they use for adaptation, from time-stepping and freezing techniques to geometric adaptivity in the form of structured grids, meshes, and particles. Applications range from fluids, through deformable bodies, to articulated solids.
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Article dans une revue
Computer Graphics Forum, Wiley, 2017, 36 (6), pp.312-337 <10.1111/cgf.12941>
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Contributeur : Pierre-Luc Manteaux <>
Soumis le : jeudi 15 septembre 2016 - 17:02:43
Dernière modification le : dimanche 10 septembre 2017 - 01:06:41
Document(s) archivé(s) le : vendredi 16 décembre 2016 - 15:47:02


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Pierre-Luc Manteaux, Chris Wojtan, Rahul Narain, Stéphane Redon, François Faure, et al.. Adaptive Physically Based Models in Computer Graphics. Computer Graphics Forum, Wiley, 2017, 36 (6), pp.312-337 <10.1111/cgf.12941>. <hal-01367170>



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