Christoph Neuhauser

Orcid: 0000-0002-0290-1991

According to our database1, Christoph Neuhauser authored at least 15 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2025
Lightweight Gradient-Aware Upscaling of 3D Gaussian Splatting Images.
CoRR, March, 2025

SGLDBench: A Benchmark Suite for Stress-Guided Lightweight 3D Designs.
CoRR, January, 2025

2024
Adaptive Sampling of 3D Spatial Correlations for Focus+Context Visualization.
IEEE Trans. Vis. Comput. Graph., February, 2024

Novel View Synthesis for Cinematic Anatomy on Mobile and Immersive Displays.
CoRR, 2024

Application of 3D Gaussian Splatting for Cinematic Anatomy on Consumer Class Devices.
Proceedings of the 29th International Symposium on Vision, Modeling, and Visualization, 2024

A Compact and Efficient Neural Data Structure for Mutual Information Estimation in Large Timeseries.
Proceedings of the 36th International Conference on Scientific and Statistical Database Management, 2024

2023
Transfer Function Optimization for Comparative Volume Rendering.
CoRR, 2023

Neural Fields for Interactive Visualization of Statistical Dependencies in 3D Simulation Ensembles.
Proceedings of the 28th International Symposium on Vision, Modeling, and Visualization, 2023

2022
Visualization of Model Parameter Sensitivity along Trajectories in Numerical Weather Predictions.
CoRR, 2022

3D-TSV: The 3D trajectory-based stress visualizer.
Adv. Eng. Softw., 2022

Efficient High-Quality Rendering of Ribbons and Twisted Lines.
Proceedings of the 27th International Symposium on Vision, Modeling, and Visualization, 2022

2021
Interactive Focus+Context Rendering for Hexahedral Mesh Inspection.
IEEE Trans. Vis. Comput. Graph., 2021

A Comparison of Rendering Techniques for 3D Line Sets With Transparency.
IEEE Trans. Vis. Comput. Graph., 2021

The 3D Trajectory-based Stress Visualizer.
CoRR, 2021

2019
A Comparison of Rendering Techniques for Large 3D Line Sets with Transparency.
CoRR, 2019


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