1 code implementation • 17 Nov 2023 • Simon Niedermayr, Josef Stumpfegger, Rüdiger Westermann
Recently, high-fidelity scene reconstruction with an optimized 3D Gaussian splat representation has been introduced for novel view synthesis from sparse image sets.
no code implementations • 8 Sep 2023 • Kevin Höhlein, Benedikt Schulz, Rüdiger Westermann, Sebastian Lerch
Statistical postprocessing is used to translate ensembles of raw numerical weather forecasts into reliable probabilistic forecast distributions.
no code implementations • 5 Jul 2023 • Fatemeh Farokhmanesh, Kevin Höhlein, Christoph Neuhauser, Tobias Necker, Martin Weissmann, Takemasa Miyoshi, Rüdiger Westermann
We present the first neural network that has learned to compactly represent and can efficiently reconstruct the statistical dependencies between the values of physical variables at different spatial locations in large 3D simulation ensembles.
1 code implementation • 2 Dec 2021 • Sebastian Weiss, Philipp Hermüller, Rüdiger Westermann
Despite the potential of neural scene representations to effectively compress 3D scalar fields at high reconstruction quality, the computational complexity of the training and data reconstruction step using scene representation networks limits their use in practical applications.
1 code implementation • EuroVIS Short Papers 2021 • Sebastian Weiss, Rüdiger Westermann
For direct volume rendering of post-classified data, we propose an algorithm that analytically splits a ray through a cubical cell at the control points of a piecewise-polynomial transfer function.
no code implementations • 26 Aug 2020 • Philipp Arras, Richard A. Perley, Hertzog L. Bester, Reimar Leike, Oleg Smirnov, Rüdiger Westermann, Torsten A. Enßlin
CLEAN, the commonly employed imaging algorithm in radio interferometry, suffers from a number of shortcomings: in its basic version it does not have the concept of diffuse flux, and the common practice of convolving the CLEAN components with the CLEAN beam erases the potential for super-resolution; it does not output uncertainty information; it produces images with unphysical negative flux regions; and its results are highly dependent on the so-called weighting scheme as well as on any human choice of CLEAN masks to guiding the imaging.
Instrumentation and Methods for Astrophysics Applications
2 code implementations • 30 Jul 2020 • Alexander Kumpf, Josef Stumpfegger, Patrick Fabian Härtl, Rüdiger Westermann
For an ensemble of data points in a multi-parameter space, we present a visual analytics technique to select a representative distribution of parameter values, and analyse how representative this distribution is in all ensemble members.
Human-Computer Interaction Graphics
no code implementations • 21 Jul 2020 • Christian Reinbold, Rüdiger Westermann
By means of Inverse Feature Visualization, we intend to provide an alternative view on a networks sensitivity to certain inputs that considers feature objectives rather than activations.
1 code implementation • 20 Jul 2020 • Sebastian Weiss, Mustafa Işık, Justus Thies, Rüdiger Westermann
A central challenge in data visualization is to understand which data samples are required to generate an image of a data set in which the relevant information is encoded.
1 code implementation • 4 Oct 2019 • Sebastian Weiss, Robert Maier, Rüdiger Westermann, Daniel Cremers, Nils Thuerey
In a number of tests using synthetic datasets and real-world measurements, we analyse the robustness of our approach and the convergence behavior of the numerical optimization scheme.
Graphics I.6
1 code implementation • 15 Jun 2019 • Sebastian Weiss, Mengyu Chu, Nils Thuerey, Rüdiger Westermann
With the advent of deep learning networks, a number of architectures have been proposed recently to infer missing samples in multi-dimensional fields, for applications such as image super-resolution and scan completion.