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Now showing items 11-16 of 16
SurfNet: Learning Surface Representations via Graph Convolutional Network
(The Eurographics Association and John Wiley & Sons Ltd., 2022)
For scientific visualization applications, understanding the structure of a single surface (e.g., stream surface, isosurface) and selecting representative surfaces play a crucial role. In response, we propose SurfNet, a ...
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 ...