Presented at EG 2025.
Presented at I3D 2024.
Presented at MIG 2023.
Presented at EG 2023.
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”
Recent Research Highlights
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”
Video-Based Motion Retargeting Framework between Characters with Various Skeleton Structure
We introduce a motion retargeting framework capable of animating characters with distinct skeletal structures using video data. While prior studies have successfully performed motion retargeting be- tween skeletons with different structures, retargeting noisy and unnatural motion data extracted from … Continue reading “Video-Based Motion Retargeting Framework between Characters with Various Skeleton Structure”