Implicit Field-Based Stylization of 2D and 3D Liquid Animations

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Date
2025
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Combining physically-based simulation with stylized visual effects not only requires to change the aspect of surfaces, but their shapes as well. We describe a new expressive rendering method for liquid animations, which can be used on top of any preexisting particle-based simulation. Our solution builds on visual particles that carry both water and air distributions, both evolving through particle history based on kinematics information from the simulation. These density fields are combined at each frame to create the implicit iso-surface of interest, rendered in adapted style. By defining series of visual particle states, we parametrize this model to capture the typical stylized geometry of water bodies used to highlight dynamic motion in paintings and cartoons, such as elongating droplets, concavities carved at the crest of breaking waves, and stylized air-water mixtures such as bubbles and foam. Regardless of the 2D or 3D nature of the input simulation, our solution maintains temporal coherence and ensures that water bodies keep an approximately constant surface in 2D, resp. or volume in 3D, over time. Finally, we conducted a user study to show the effectiveness of our method against state of the art AI-based tools, in a variety of animation scenarios where stylized shapes are needed.
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@inproceedings{
10.2312:stag.20251324
, booktitle = {
Smart Tools and Applications in Graphics - Eurographics Italian Chapter Conference
}, editor = {
Comino Trinidad, Marc
and
Mancinelli, Claudio
and
Maggioli, Filippo
and
Romanengo, Chiara
and
Cabiddu, Daniela
and
Giorgi, Daniela
}, title = {{
Implicit Field-Based Stylization of 2D and 3D Liquid Animations
}}, author = {
Stevenson-Regla, Rodrigo
and
Rohmer, Damien
and
Barthe, Loïc
and
Cani, Marie-Paule
}, year = {
2025
}, publisher = {
The Eurographics Association
}, ISSN = {
2617-4855
}, ISBN = {
978-3-03868-296-7
}, DOI = {
10.2312/stag.20251324
} }
Citation