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UnderPressure: Deep Learning for Foot Contact Detection, Ground Reaction Force Estimation and Footskate Cleanup
(The Eurographics Association and John Wiley & Sons Ltd., 2022)
Human motion synthesis and editing are essential to many applications like video games, virtual reality, and film postproduction. However, they often introduce artefacts in motion capture data, which can be detrimental to ...
Deep Reconstruction of 3D Smoke Densities from Artist Sketches
(The Eurographics Association and John Wiley & Sons Ltd., 2022)
Creative processes of artists often start with hand-drawn sketches illustrating an object. Pre-visualizing these keyframes is especially challenging when applied to volumetric materials such as smoke. The authored 3D density ...
Automatic Feature Selection for Denoising Volumetric Renderings
(The Eurographics Association and John Wiley & Sons Ltd., 2022)
We propose a method for constructing feature sets that significantly improve the quality of neural denoisers for Monte Carlo renderings with volumetric content. Starting from a large set of hand-crafted features, we propose ...
PERGAMO: Personalized 3D Garments from Monocular Video
(The Eurographics Association and John Wiley & Sons Ltd., 2022)
Clothing plays a fundamental role in digital humans. Current approaches to animate 3D garments are mostly based on realistic physics simulation, however, they typically suffer from two main issues: high computational ...
SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generation
(The Eurographics Association and John Wiley & Sons Ltd., 2022)
We present a StyleGAN2-based deep learning approach for 3D shape generation, called SDF-StyleGAN, with the aim of reducing visual and geometric dissimilarity between generated shapes and a shape collection. We extend ...
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 ...