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Found 7 papers, 0 papers with code
A Repulsive Force Unit for Garment Collision Handling in Neural Networks
Despite recent success, deep learning-based methods for predicting 3D garment deformation under body motion suffer from interpenetration problems between the garment and the body.
Active Learning of Neural Collision Handler for Complex 3D Mesh Deformations
We present a robust learning algorithm to detect and handle collisions in 3D deforming meshes.
Multiscale Mesh Deformation Component Analysis with Attention-based Autoencoders
The attention mechanism is designed to learn to softly weight multi-scale deformation components in active deformation regions, and the stacked attention-based autoencoder is learned to represent the deformation components at different scales.
DeepMNavigate: Deep Reinforced Multi-Robot Navigation Unifying Local & Global Collision Avoidance
We present a novel algorithm (DeepMNavigate) for global multi-agent navigation in dense scenarios using deep reinforcement learning (DRL).
Realtime Simulation of Thin-Shell Deformable Materials using CNN-Based Mesh Embedding
We present a new algorithm to embed a high-dimensional configuration space of deformable objects in a low-dimensional feature space, where the configurations of objects and feature points have approximate one-to-one mapping.
Variational Autoencoders for Deforming 3D Mesh Models
3D geometric contents are becoming increasingly popular.
Graphics
Mesh-based Autoencoders for Localized Deformation Component Analysis
Spatially localized deformation components are very useful for shape analysis and synthesis in 3D geometry processing.
Graphics
