Kanai Laboratory

In this paper, we propose a novel data-driven method that uses a machine learning scheme for formulating fracture simulation with the Boundary Element … Continue reading “Data-Driven Approach for Simulating Brittle Fracture Surfaces”

We propose an efficient data-driven enrichment approach to adaptively enhance the expressivity of subspaces for elastic deformations with novel collis … Continue reading “Data-driven Subspace Enrichment for Elastic Deformations with Collisions”

We propose a method for adding visual details to fluid animation while reducing noisy appearances. In grid-based fluid simulations, an issue is that w … Continue reading “Adding Visual Details Based on Low-Resolution Energy Cascade Ratios for Smoke Simulation”

We propose a data-driven method to realize high quality detailed hair animations in interactive applications like games. By devising an error metric m … Continue reading “Data-Driven Detailed Hair Animation for Game Characters”