research
∙
09/08/2023
Postprocessing of Ensemble Weather Forecasts Using Permutation-invariant Neural Networks
Statistical postprocessing is used to translate ensembles of raw numeric...
share
research
∙
09/06/2023
Adaptive Sampling of 3D Spatial Correlations for Focus+Context Visualization
Visualizing spatial structures in 3D ensembles is challenging due to the...
research
∙
07/05/2023
Neural Fields for Interactive Visualization of Statistical Dependencies in 3D Simulation Ensembles
We present the first neural network that has learned to compactly repres...
research
∙
06/09/2023
Transfer Function Optimization for Comparative Volume Rendering
Direct volume rendering is often used to compare different 3D scalar fie...
research
∙
07/19/2022
A Streamline-guided De-Homogenization Approach for Structural Design
We present a novel de-homogenization approach for efficient design of hi...
research
∙
05/02/2022
Visualization of Model Parameter Sensitivity along Trajectories in Numerical Weather Predictions
Numerical weather prediction models rely on parameterizations for subgri...
research
∙
12/16/2021
3D-TSV: The 3D Trajectory-based Stress Visualizer
We present the 3D Trajectory-based Stress Visualizer (3D-TSV), a visual ...
research
∙
12/02/2021
Fast Neural Representations for Direct Volume Rendering
Despite the potential of neural scene representations to effectively com...
research
∙
08/22/2021
Stress Topology Analysis for Porous Infill Optimization
The optimization of porous infill structures via local volume constraint...
research
∙
07/27/2021
Differentiable Direct Volume Rendering
We present a differentiable volume rendering solution that provides diff...
research
∙
09/14/2020
Interactive Focus+Context Rendering for Hexahedral Mesh Inspection
The visual inspection of a hexahedral mesh with respect to element quali...
research
∙
08/26/2020
Comparison of classical and Bayesian imaging in radio interferometry
CLEAN, the commonly employed imaging algorithm in radio interferometry, ...
research
∙
08/18/2020
A Comparative Study of Convolutional Neural Network Models for Wind Field Downscaling
We analyze the applicability of convolutional neural network (CNN) archi...
research
∙
07/30/2020
Visual Analysis of Multi-Parameter Distributions across Ensembles
For an ensemble of data points in a multi-parameter space, we present a ...
research
∙
07/21/2020
Inverting the Feature Visualization Process for Feedforward Neural Networks
This work sheds light on the invertibility of feature visualization in n...
research
∙
07/20/2020
Learning Adaptive Sampling and Reconstruction for Volume Visualization
A central challenge in data visualization is to understand which data sa...
research
∙
12/18/2019
A Comparison of Rendering Techniques for Large 3D Line Sets with Transparency
This paper presents a comprehensive study of interactive rendering techn...
research
∙
10/04/2019
Sparse Surface Constraints for Combining Physics-based Elasticity Simulation and Correspondence-Free Object Reconstruction
We address the problem to infer physical material parameters and boundar...
research
∙
06/15/2019
Volumetric Isosurface Rendering with Deep Learning-Based Super-Resolution
Rendering an accurate image of an isosurface in a volumetric field typic...
research
∙
01/03/2018
A Voxel-based Rendering Pipeline for Large 3D Line Sets
We present a voxel-based rendering pipeline for large 3D line sets that ...
research
∙
10/11/2012
