More Works from Our Lab

Quadtree Tall Cells for Eulerian Liquid Simulation

We propose a quadtree-based tall cell grid with a variational Poisson formulation that enables aggressive horizontal adaptivity, efficient pressure solves, and monolithic rigid–fluid coupling, outperforming uniform tall cell methods for deep water simulation.

SIGGRAPH Conference Papers ’25
A Unified Discrete Collision Framework for Triangle Primitives

We propose a unified primitive-first DCD-based collision framework that robustly resolves edge–triangle and edge–edge interactions for self- and inter-object collisions, and can be seamlessly integrated into PBD/XPBD as an efficient collision constraint.

Eurographics 2025
DeepFracture: A Generative Approach for Predicting Brittle Fractures with Neural Discrete Representation Learning

We propose a learning-based framework that predicts detailed collision-driven brittle fracture patterns at runtime using a discrete latent geometric representation, achieving realistic destruction effects with significantly lower computational cost than traditional physics-based simulations.

Computer Graphics Forum 2025

Adaptive Optical Layers: Efficient Tall Cell Grids for Liquid Simulation

Fumiya Narita1,2, Takashi Kanai1
1The University of Tokyo , 2GAME FREAK Inc.
Eurographics 2026
Paper DOI

Lucy in the Rain: Water is poured onto the surface from multiple sources, while many small spherical droplets, resembling rainfall, fall into the liquid.

Abstract

Tall cell grids have been proposed as an efficient approach to accelerate large-scale liquid simulation. In this framework, regions near the liquid surface are discretized with regular grids, while regions farther away are represented by elongated rectangular cells. The regular grid region close to the surface is referred to as the optical layer. In previous work, the thickness of this optical layer was uniformly fixed across the entire liquid domain. In this paper, we propose a novel tall cell grid structure in which the thickness of the optical layer is dynamically adjusted according to the motion of the liquid. This adaptive strategy reduces the number of grid cells required in the projection step without compromising visual quality, thereby accelerating the overall simulation. Furthermore, we introduce a two-way coupling scheme between rigid bodies and liquids in regions where the optical layer remains thin. Our algorithm is simple and can be easily integrated into existing tall cell grid frameworks.

Video Presentation

BibTeX

@article{NaritaKanai2026AdaptiveOpticalLayers,
  title = {Adaptive Optical Layers: Efficient Tall Cell Grids for Liquid Simulation},
  author = {Fumiya Narita and Takashi Kanai},
  journal = {Computer Graphics Forum},
  volume = {45},
  number = {2},
  pages = {e70357},
  publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
  year = {2026},
  doi = {10.1111/cgf.70357}
}