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”
Category: Machine Learning
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”
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”
MultiResGNet: Approximating Nonlinear Deformation via Multi-Resolution Graphs
This paper presents a graph-learning-based, powerfully generalized method for automatically generating nonlinear deformation for characters with an ar … Continue reading “MultiResGNet: Approximating Nonlinear Deformation via Multi-Resolution Graphs”
A GAN-based Temporally Stable Shading Model for Fast Animation of Photorealistic Hair
We introduce a GAN-based model for shading photorealistic hair animations. This work try to shade photorealistic hairs by extending the unsupervised G … Continue reading “A GAN-based Temporally Stable Shading Model for Fast Animation of Photorealistic Hair”
Segmentation of Unbalanced and In-homogeneous Point Clouds and Its Application to 3D Scanned Trees
Segmentation of 3D point clouds is still an open issue in the case of unbalanced and in-homogeneous data-sets. In the application context of the model … Continue reading “Segmentation of Unbalanced and In-homogeneous Point Clouds and Its Application to 3D Scanned Trees”
High Accuracy Terrain Reconstruction from Point Clouds Using Implicit Deformable Model
Few previous works have studied the modeling of forest ground surfaces from LiDAR point clouds using implicit functions. Jules et al.’s work [Ju … Continue reading “High Accuracy Terrain Reconstruction from Point Clouds Using Implicit Deformable Model”
DenseGATs: A Graph-Attention-Based Network for Nonlinear Character Deformation
In animation production, animators always spend significant time and efforts to develop quality deformation systems for characters with complex appear … Continue reading “DenseGATs: A Graph-Attention-Based Network for Nonlinear Character Deformation”
Brittle Fracture Shape Generation of 2D Planes Using Deep Learning
Brittle fracture of plane shape objects, such as glass and concrete, is often seen in the real world. Fracture animation of rigid bodies provides impr … Continue reading “Brittle Fracture Shape Generation of 2D Planes Using Deep Learning”
Data-Driven Approach for Simulating Brittle Fracture Surfaces
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”