Due to the DNS switch, the system will be going down. Please save your work and logout.
Search
Now showing items 1-10 of 14
HalfedgeCNN for Native and Flexible Deep Learning on Triangle Meshes
(The Eurographics Association and John Wiley & Sons Ltd., 2023)
We describe HalfedgeCNN, a collection of modules to build neural networks that operate on triangle meshes. Taking inspiration from the (edge-based) MeshCNN, convolution, pooling, and unpooling layers are consistently defined ...
ParaDime: A Framework for Parametric Dimensionality Reduction
(The Eurographics Association and John Wiley & Sons Ltd., 2023)
ParaDime is a framework for parametric dimensionality reduction (DR). In parametric DR, neural networks are trained to embed high-dimensional data items in a low-dimensional space while minimizing an objective function. ...
Physics-Informed Neural Corrector for Deformation-based Fluid Control
(The Eurographics Association and John Wiley & Sons Ltd., 2023)
Controlling fluid simulations is notoriously difficult due to its high computational cost and the fact that user control inputs can cause unphysical motion. We present an interactive method for deformation-based fluid ...
Face Editing Using Part-Based Optimization of the Latent Space
(The Eurographics Association and John Wiley & Sons Ltd., 2023)
We propose an approach for interactive 3D face editing based on deep generative models. Most of the current face modeling methods rely on linear methods and cannot express complex and non-linear deformations. In contrast ...
CubeGAN: Omnidirectional Image Synthesis Using Generative Adversarial Networks
(The Eurographics Association and John Wiley & Sons Ltd., 2023)
We propose a framework to create projectively-correct and seam-free cube-map images using generative adversarial learning. Deep generation of cube-maps that contain the correct projection of the environment onto its faces ...
Cross-Shape Attention for Part Segmentation of 3D Point Clouds
(The Eurographics Association and John Wiley & Sons Ltd., 2023)
We present a deep learning method that propagates point-wise feature representations across shapes within a collection for the purpose of 3D shape segmentation. We propose a cross-shape attention mechanism to enable ...
Variational Pose Prediction with Dynamic Sample Selection from Sparse Tracking Signals
(The Eurographics Association and John Wiley & Sons Ltd., 2023)
We propose a learning-based approach for full-body pose reconstruction from extremely sparse upper body tracking data, obtained from a virtual reality (VR) device. We leverage a conditional variational autoencoder with ...
MAPMaN: Multi-Stage U-Shaped Adaptive Pattern Matching Network for Semantic Segmentation of Remote Sensing Images
(The Eurographics Association and John Wiley & Sons Ltd., 2023)
Remote sensing images (RSIs) often possess obvious background noises, exhibit a multi-scale phenomenon, and are characterized by complex scenes with ground objects in diversely spatial distribution pattern, bringing ...
Data-Driven Ink Painting Brushstroke Rendering
(The Eurographics Association and John Wiley & Sons Ltd., 2023)
Although digital painting has advanced much in recent years, there is still a significant divide between physically drawn paintings and purely digitally drawn paintings. These differences arise due to the physical interactions ...
MOVIN: Real-time Motion Capture using a Single LiDAR
(The Eurographics Association and John Wiley & Sons Ltd., 2023)
Recent advancements in technology have brought forth new forms of interactive applications, such as the social metaverse, where end users interact with each other through their virtual avatars. In such applications, precise ...