Presented and Awarded at VC2025.
Presented at SIGGRAPH 2025.
Presented at EG 2025.
Presented at I3D 2024.
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 … Continue reading “Adaptive Optical Layers: Efficient Tall Cell Grids for Liquid Simulation”
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Recent Research Highlights
Quadtree Tall Cells for Eulerian Liquid Simulation
This paper introduces a novel grid structure that extends tall cell methods for efficient deep water simulation. Unlike previous tall cell methods, which are designed to capture all the fine details around liquid surfaces, our approach subdivides tall cells horizontally, allowing for more aggressive … Continue reading “Quadtree Tall Cells for Eulerian Liquid Simulation”
A Unified Discrete Collision Framework for Triangle Primitives
We present a unified, primitive-first framework with DCD for collision response in physics-based simulations. Previous methods do not provide sufficient solutions on a framework that resolves edge-triangle and edge-edge collisions when handling self-collisions and inter-object collisions in a unifie … Continue reading “A Unified Discrete Collision Framework for Triangle Primitives”
DeepFracture: A Generative Approach for Predicting Brittle Fractures with Neural Discrete Representation Learning
In the field of brittle fracture animation, generating realistic destruction animations using physics-based simulation methods is computationally expensive. While techniques based on Voronoi diagrams or pre-fractured patterns are effective for real-time applications, they fail to incorporate collisi … Continue reading “DeepFracture: A Generative Approach for Predicting Brittle Fractures with Neural Discrete Representation Learning”