35 citations · 86 across the 8 of their papers we have counts for
7 papers · 1 filter
DiffLocks: Generating 3D Hair from a Single Image using Diffusion Models
Radu Alexandru Rosu, Keyu Wu, Yao Feng +2
We address the task of generating 3D hair geometry from a single image, which is challenging due to the diversity of hairstyles and the lack of paired image-to-3D hair data. Previo…
Abstract Flow for Temporal Semantic Segmentation on the Permutohedral Lattice
Peer Schütt, Radu Alexandru Rosu, Sven Behnke
Semantic segmentation is a core ability required by autonomous agents, as being able to distinguish which parts of the scene belong to which object class is crucial for navigation…
LatticeNet: Fast Spatio-Temporal Point Cloud Segmentation Using Permutohedral Lattices
Radu Alexandru Rosu, Peer Schütt, Jan Quenzel +1
Deep convolutional neural networks (CNNs) have shown outstanding performance in the task of semantically segmenting images. Applying the same methods on 3D data still poses challen…
Beyond Photometric Consistency: Gradient-based Dissimilarity for Improving Visual Odometry and Stereo Matching
Jan Quenzel, Radu Alexandru Rosu, Thomas Läbe +2
Pose estimation and map building are central ingredients of autonomous robots and typically rely on the registration of sensor data. In this paper, we investigate a new metric for…
Bonn Activity Maps: Dataset Description
Julian Tanke, Oh-Hun Kwon, Patrick Stotko +9
The key prerequisite for accessing the huge potential of current machine learning techniques is the availability of large databases that capture the complex relations of interest.…
LatticeNet: Fast Point Cloud Segmentation Using Permutohedral Lattices
Radu Alexandru Rosu, Peer Schütt, Jan Quenzel +1
Deep convolutional neural networks (CNNs) have shown outstanding performance in the task of semantically segmenting images. However, applying the same methods on 3D data still pose…