Author: Takashi Kanai

Data-driven Subspace Enrichment for Elastic Deformations with Collisions

We propose an efficient data-driven enrichment approach to adaptively enhance the expressivity of subspaces for elastic deformations with novel collisions. In general, subspace integration method (also known as model reduction) for elastic deformations can greatly increase simulation speed. However, … Continue reading “Data-driven Subspace Enrichment for Elastic Deformations with Collisions”

Adding Visual Details Based on Low-Resolution Energy Cascade Ratios for Smoke Simulation

We propose a method for adding visual details to fluid animation while reducing noisy appearances. In grid-based fluid simulations, an issue is that while highly detailed fluids with small eddies can be obtained by increasing the number of grid cells, it costs much more computational time. To addres … Continue reading “Adding Visual Details Based on Low-Resolution Energy Cascade Ratios for Smoke Simulation”

Data-Driven Detailed Hair Animation for Game Characters

We propose a data-driven method to realize high quality detailed hair animations in interactive applications like games. By devising an error metric method to evaluate hair animation similarities, we take hair features into consideration as much as possible. We also propose a novel database construc … Continue reading “Data-Driven Detailed Hair Animation for Game Characters”