Statistical postprocessing is used to translate ensembles of raw numeric...
Visualizing spatial structures in 3D ensembles is challenging due to the...
We present the first neural network that has learned to compactly repres...
Direct volume rendering is often used to compare different 3D scalar fie...
We present a novel de-homogenization approach for efficient design of
hi...
Numerical weather prediction models rely on parameterizations for
subgri...
We present the 3D Trajectory-based Stress Visualizer (3D-TSV), a visual
...
Despite the potential of neural scene representations to effectively com...
The optimization of porous infill structures via local volume constraint...
We present a differentiable volume rendering solution that provides
diff...
The visual inspection of a hexahedral mesh with respect to element quali...
CLEAN, the commonly employed imaging algorithm in radio interferometry,
...
We analyze the applicability of convolutional neural network (CNN)
archi...
For an ensemble of data points in a multi-parameter space, we present a
...
This work sheds light on the invertibility of feature visualization in n...
A central challenge in data visualization is to understand which data sa...
This paper presents a comprehensive study of interactive rendering techn...
We address the problem to infer physical material parameters and boundar...
Rendering an accurate image of an isosurface in a volumetric field typic...
We present a voxel-based rendering pipeline for large 3D line sets that
...
The JHU turbulence database [1] can be used with a state of the art
visu...