Space-time sculpting of liquid animation

Abstract

International audienceWe propose an interactive sculpting system for seamlessly editing pre-computed animations of liquid, without the need for any re-simulation. The input is a sequence of meshes without correspondences representing the liquid surface over time. Our method enables the efficient selection of consistent space-time parts of this animation, such as moving waves or droplets, which we call space-time features. Once selected, a feature can be copied, edited, or duplicated and then pasted back anywhere in space and time in the same or in another liquid animation sequence. Our method circumvents tedious user interactions by automatically computing the spatial and temporal ranges of the selected feature. We also provide space-time shape editing tools for non-uniform scaling, rotation, trajectory changes, and temporal editing to locally speed up or slow down motion. Using our tools, the user can edit and progressively refine any input simulation result, possibly using a library of pre-computed space-time features extracted from other animations. In contrast to the trial-and-error loop usually required to edit animation results through the tuning of indirect simulation parameters, our method gives the user full control over the edited space-time behaviors

Efficient and high precision target‐driven fluid simulation based on spatial geometry features

“…There are now more freely editable applications, such as Bojsen‐Hansen and Wojtan 28 inserted template liquid animation into an existing fluid simulation using special boundary conditions to smooth the transition. The sculpting idea proposed by Manteaux et al 29 enabled the artist to edit the mesh extracted from the liquid simulation rather than modifying the simulation itself. The sculpture‐inspired tool proposed by Stuyck and Dutre 30 also stands out from previous work in that their method is faster, more intuitive, and boasts easier operations.…”

Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow

“…In the context of data-driven flow modelling, methods to interpolate between existing data have been presented. Raveendran et al (2014) presented a technique to smoothly blend between pre-computed liquid simulations, which was later extended with more controllability (Manteaux et al, 2016). Thuerey et al (2016)…”

Water surface wavelets

“…Previous works have investigated liquid control by directly editing keyframes [McNamara et al 2004;Shi and Yu 2005], by sculpting fluid interactively [Manteaux et al 2016;Pan et al 2013], by introducing guide forces on particles [Thuerey et al 2009] or meshes [Raveendran et al 2012], by composing together convenient flow primitives [Chenney 2004], or by interpolating between simulations and existing motions [Raveendran et al 2014;Thuerey 2016]. Some works enhance existing animations with additional waves on surfaces [Angst et al 2008;Kim et al 2013] or near boundaries Wojtan 2015, 2017].…”