204 citations · 609 across the 30 of their papers we have counts for
4 papers · 1 filter
Multi-Resolution Rendering for Computationally Expensive Lighting Effects
Simon Besenthal, Sebastian Maisch, Timo Ropinski
Many lighting methods used in computer graphics such as indirect illumination can have very high computational costs and need to be approximated for real-time applications. These c…
Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning
Pedro Hermosilla, Tobias Ritschel, Timo Ropinski
We show that denoising of 3D point clouds can be learned unsupervised, directly from noisy 3D point cloud data only. This is achieved by extending recent ideas from learning of uns…
Training Object Detectors on Synthetic Images Containing Reflecting Materials
Sebastian Hartwig, Timo Ropinski
One of the grand challenges of deep learning is the requirement to obtain large labeled training data sets. While synthesized data sets can be used to overcome this challenge, it i…
Net2Vis -- A Visual Grammar for Automatically Generating Publication-Tailored CNN Architecture Visualizations
Alex Bäuerle, Christian van Onzenoodt, Timo Ropinski
To convey neural network architectures in publications, appropriate visualizations are of great importance. While most current deep learning papers contain such visualizations, the…