Animation and rendering of complex water surfaces

By Douglas Enright, S. Marschner, Ronald Fedkiw. ACM Transactions on Graphics, 2002

681 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/2c7b68520fde7691e4153e9d7b662b52cf699222

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Ronald Fedkiw
2. Frank Losasso
3. Stanley J. Osher
4. Frédéric Gibou
5. Andrew Selle
6. Yongning Zhu
7. Robert Bridson
8. Douglas Enright

In Computer Graphics and Computer-Aided Design

1. Ronald Fedkiw
2. Frank Losasso
3. Andrew Selle
4. Yongning Zhu
5. Stanley J. Osher
6. Frédéric Gibou
7. Robert Bridson
8. Douglas Enright

In Computer Vision and Pattern Recognition

1. Ronald Fedkiw
2. Frank Losasso
3. Yongning Zhu
4. Robert Bridson
5. Andrew Selle
6. Stanley J. Osher
7. Douglas Enright
8. Frédéric Gibou

Citations in the corpus

• Simulating water and smoke with an octree data structure (2004, methodology): “Similarly using both semiLagrangian methods and hybridized particle and implicit surface techniques, [Foster and Fedkiw 2001; Enright et al. 2002b] simulated splashing water with both smooth surfaces and thin sheets.”
• The affine particle-in-cell method (2015, methodology): “couple Lagrangian particles with the Particle Level Set Method [Enright et al. 2002] to simulate compressible bubbles in incompressible flow [Patkar et al.”
• Interactive localized liquid motion editing (2013, methodology): “Navier-Stokes fluid model has been popular in computer graphics since the early work [Foster and Metaxas 1996; Foster and Metaxas 1997b; Stam 1999; Enright et al. 2002].”
• Animating sand as a fluid (2005, methodology): “Moreover, even fifth-order accurate methods fail to accurately advect level sets[Enright et al. 2002a] as are commonly used to represent the water surface, quickly rounding off any small features.”
• A fast and accurate semi-Lagrangian particle level set method (2005, methodology): “As an example of the flexibility of the particle level set method, its use in modeling complex three dimensional water surfaces can be seen in [6] [7].”
• Spatially adaptive techniques for level set methods and incompressible flow (2006, methodology): “Computer graphics researchers have also started to use level set methods to simulate water and and other liquids as introduced in [35, 29], as well as fire [64].”
• An Unconditionally Stable MacCormack Method (2008, methodology): “We use the basic free surface model described in [7] with the improved second order accurate free surface pressure boundary condition proposed in [8] and the improved fast marching method from [15].”
• USING THE PARTICLE LEVEL SET METHOD AND A SECOND ORDER ACCURATE PRESSURE BOUNDARY CONDITION FOR FREE SURFACE FLOWS (2003, methodology): “At steady state we note that ∇φ · ∇ u ext = 0 so that a faster method can be devised by marching out from the interface, see [21] [22].”
• Coupling water and smoke to thin deformable and rigid shells (2005, methodology): “[Foster and Fedkiw 2001; Enright et al. 2002]) are simulated using Eulerian numerical methods with a fixed mesh that material moves through, whereas solids such as cloth (e.”
• A sharp interface method for incompressible two-phase flows (2007, background): “The one-phase algorithm addresses a two-phase flow problem in which the liquid is assumed to behave incompressibly, and the pressure in the gas is spatially constant [45,17,11].”
• A hybrid particle level set method for improved interface capturing (2002, methodology): “Recently, we have combined this new particle level set method with an existing fluid code in order to study its behavior in more complicated situations including pinching and merging [ 8 ].”