We introduce a motion retargeting framework capable of animating characters with distinct skeletal structures using video data. While prior studies ha … Continue reading “Video-Based Motion Retargeting Framework between Characters with Various Skeleton Structure”
Author: Takashi Kanai
Presented at EG 2023.
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Detail-Aware Deep Clothing Animations Infused with Multi-Source Attributes
This paper presents a novel learning-based clothing deformation method to generate rich and reasonable detailed deformations for garments worn by bodi … Continue reading “Detail-Aware Deep Clothing Animations Infused with Multi-Source Attributes”
Laboratory Briefing Session
Sorry, this entry is only available in 日本語.
Presented at MIG 2021.
Sorry, this entry is only available in 日本語.
GarMatNet: A Learning-based Method for Predicting 3D Garment Mesh with Parameterized Materials
Recent progress in learning-based methods of garment mesh generation is resulting in increased efficiency and maintenance of reality during the genera … Continue reading “GarMatNet: A Learning-based Method for Predicting 3D Garment Mesh with Parameterized Materials”
Reducing Computational Costs of Small Steps Method in Projective Dynamics
In this paper, we present a strategy to decrease the computational demands of the Small Steps Method in Projective Dynamics, which serves to simulate … Continue reading “Reducing Computational Costs of Small Steps Method in Projective Dynamics”
Presented at CGI 2021.
Sorry, this entry is only available in 日本語.
A Flux-Interpolated Advection Scheme for Fluid Simulation
We propose a new advection scheme for fluid simulation that improves both conservation and numerical diffusion. Our work differs from previous works i … Continue reading “A Flux-Interpolated Advection Scheme for Fluid Simulation”
Presented at EG 2021.
Sorry, this entry is only available in 日本語.