The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Unified particle physics for real-time applications
Abstract
We present a unified dynamics framework for real-time visual effects. Using particles connected by constraints as our fundamental building block allows us to treat contact and collisions in a unified manner, and we show how this representation is flexible enough to model gases, liquids, deformable solids, rigid bodies and cloth with two-way interactions. We address some common problems with traditional particle-based methods and describe a parallel constraint solver based on position-based dynamics that is efficient enough for real-time applications.
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Citations
Cites
Boyd, S., & Vandenberghe, L. (2004) · doi:10.1017/cbo9780511804441 · Cited by 56,601
Particle-Based Fluid Simulation for Interactive Applications
Müller, M., Charypar, D., & Groß, M. H. (2003) · doi:10.2312/sca03/154-159 · Cited by 999
Self-citationMüller, M., Heidelberger, B., Hennix, M., & Ratcliff, J. (2007) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2007.01.005 · Cited by 927
Self-citationFedkiw, R. P., Stam, J., & Jensen, H. W. (2001) · ACM SIGGRAPH Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH) · doi:10.1145/383259.383260 · Cited by 877
Zhu, Y., & Bridson, R. (2005) · ACM Transactions on Graphics · doi:10.1145/1073204.1073298 · Cited by 648
Robust treatment of collisions, contact and friction for cloth animation
Bridson, R., Fedkiw, R., & Anderson, J. (2002) · ACM Transactions on Graphics · doi:10.1145/566654.566623 · Cited by 618
Meshless deformations based on shape matching
Müller, M., Heidelberger, B., Teschner, M., & Gross, M. (2005) · ACM Transactions on Graphics · doi:10.1145/1073204.1073216 · Cited by 564
Self-citationMacklin, M., & Müller, M. (2013) · ACM Transactions on Graphics · doi:10.1145/2461912.2461984 · Cited by 416
Self-citationPoint based animation of elastic, plastic and melting objects
M�ller, M., Keiser, R., Nealen, A., Pauly, M., Gross, M., & Alexa, M. (2004) · Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer animation - SCA '04 · doi:10.1145/1028523.1028542 · Cited by 388
Self-citationVersatile rigid-fluid coupling for incompressible SPH
Akinci, N., Ihmsen, M., Akinci, G., Solenthaler, B., & Teschner, M. (2012) · ACM Transactions on Graphics · doi:10.1145/2185520.2185558 · Cited by 314
Cited by
(2021) · doi:10.1109/icra48506.2021.9561877 · Cited by 370
Modeling, learning, perception, and control methods for deformable object manipulation
Yin, H., Varava, A., & Kragic, D. (2021) · Science Robotics · doi:10.1126/scirobotics.abd8803 · Cited by 299
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation
Lin, X., Wang, Y., Olkin, J., & Held, D. (2020) · arXiv · doi:10.48550/arxiv.2011.07215 · Cited by 140
Modeling of deformable objects for robotic manipulation: A tutorial and review
Arriola-Rios, V. E., Guler, P., Ficuciello, F., Kragic, D., Siciliano, B., & Wyatt, J. L. (2020) · Frontiers in Robotics and AI · doi:10.3389/frobt.2020.00082 · Cited by 126
Learning to dress: Synthesizing human dressing motion via deep reinforcement learning
Clegg, A., Yu, W., Tan, J., Liu, C. K., & Turk, G. (2018) · ACM Transactions on Graphics · doi:10.1145/3272127.3275048 · Cited by 89
Metadata
- Authors
- Macklin, M., Müller, M., Chentanez, N., & Kim, T.-Y.
- Venue
- ACM Transactions on Graphics
- Published
- 2014-07-27
- Volume
- 33
- Issue
- 4
- Pages
- 1-12
- ISSN
- 0730-0301 (ISSN-L)
- 1557-7368
- OpenAlex
- W2112961542
- Cited by
- 447
- References
- 32
- FWCI
- 94.97
- Type
- journal article
- Language
- en
- Open access
- closed
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- Macklin, M., Müller, M., Chentanez, N., & Kim, T.-Y. (2014). Unified particle physics for real-time applications. ACM Transactions on Graphics. https://doi.org/10.1145/2601097.2601152
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
