115 citations · 245 across the 18 of their papers we have counts for
18 papers
PiG-Avatar: Hierarchical Neural-Field-Guided Gaussian Avatars
Julian Kaltheuner, Jan Spindler, Sina Kitz +2
Existing Gaussian avatar methods typically parameterize geometry on a body-template surface, which entangles the avatar's representation space with the template's deformation space…
RHINO-AR: An Augmented Reality Exhibit for Teaching Mobile Robotics Concepts in Museums
Nils Dengler, Tim Graf, Leif Van Holland +3
Understanding autonomous mobile robots is challenging for people without robotics expertise, because key processes such as sensing, mapping, and planning are invisible. We present…
Neu-PiG: Neural Preconditioned Grids for Fast Dynamic Surface Reconstruction on Long Sequences
Julian Kaltheuner, Hannah Dröge, Markus Plack +2
Temporally consistent surface reconstruction of dynamic 3D objects from unstructured point cloud data remains challenging, especially for very long sequences. Existing methods eith…
Transformer-Based Inpainting for Real-Time 3D Streaming in Sparse Multi-Camera Setups
Leif Van Holland, Domenic Zingsheim, Mana Takhsha +4
High-quality 3D streaming from multiple cameras is crucial for immersive experiences in many AR/VR applications. The limited number of views - often due to real-time constraints -…
Moment-Based 3D Gaussian Splatting: Resolving Volumetric Occlusion with Order-Independent Transmittance
Jan U. Müller, Robin Tim Landsgesell, Leif Van Holland +2
The recent success of 3D Gaussian Splatting (3DGS) has reshaped novel view synthesis by enabling fast optimization and real-time rendering of high-quality radiance fields. However,…
Preconditioned Deformation Grids
Julian Kaltheuner, Alexander Oebel, Hannah Droege +2
Dynamic surface reconstruction of objects from point cloud sequences is a challenging field in computer graphics. Existing approaches either require multiple regularization terms o…
ROSA: Reconstructing Object Shape and Appearance Textures by Adaptive Detail Transfer
Julian Kaltheuner, Patrick Stotko, Reinhard Klein
Reconstructing an object's shape and appearance in terms of a mesh textured by a spatially-varying bidirectional reflectance distribution function (SVBRDF) from a limited set of im…
NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives
Leif Van Holland, Michael Weinmann, Jan U. Müller +2
While neural radiance fields (NeRF) led to a breakthrough in photorealistic novel view synthesis, handling mirroring surfaces still denotes a particular challenge as they introduce…
RHINO-VR Experience: Teaching Mobile Robotics Concepts in an Interactive Museum Exhibit
Erik Schlachhoff, Nils Dengler, Leif Van Holland +4
In 1997, the very first tour guide robot RHINO was deployed in a museum in Germany. With the ability to navigate autonomously through the environment, the robot gave tours to over…
TraM-NeRF: Tracing Mirror and Near-Perfect Specular Reflections through Neural Radiance Fields
Leif Van Holland, Ruben Bliersbach, Jan U. Müller +2
Implicit representations like Neural Radiance Fields (NeRF) showed impressive results for photorealistic rendering of complex scenes with fine details. However, ideal or near-perfe…
FPO++: Efficient Encoding and Rendering of Dynamic Neural Radiance Fields by Analyzing and Enhancing Fourier PlenOctrees
Saskia Rabich, Patrick Stotko, Reinhard Klein
Fourier PlenOctrees have shown to be an efficient representation for real-time rendering of dynamic Neural Radiance Fields (NeRF). Despite its many advantages, this method suffers…
Efficient 3D Reconstruction, Streaming and Visualization of Static and Dynamic Scene Parts for Multi-client Live-telepresence in Large-scale Environments
Leif Van Holland, Patrick Stotko, Stefan Krumpen +2
Despite the impressive progress of telepresence systems for room-scale scenes with static and dynamic scene entities, expanding their capabilities to scenarios with larger dynamic…
Incomplete Gamma Kernels: Generalizing Locally Optimal Projection Operators
Patrick Stotko, Michael Weinmann, Reinhard Klein
We present incomplete gamma kernels, a generalization of Locally Optimal Projection (LOP) operators. In particular, we reveal the relation of the classical localized estima…
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.…
stdgpu: Efficient STL-like Data Structures on the GPU
Patrick Stotko
Tremendous advances in parallel computing and graphics hardware opened up several novel real-time GPU applications in the fields of computer vision, computer graphics as well as au…
Efficient 3D Reconstruction and Streaming for Group-Scale Multi-Client Live Telepresence
Patrick Stotko, Stefan Krumpen, Michael Weinmann +1
Sharing live telepresence experiences for teleconferencing or remote collaboration receives increasing interest with the recent progress in capturing and AR/VR technology. Whereas…
A VR System for Immersive Teleoperation and Live Exploration with a Mobile Robot
Patrick Stotko, Stefan Krumpen, Max Schwarz +4
Applications like disaster management and industrial inspection often require experts to enter contaminated places. To circumvent the need for physical presence, it is desirable to…
SLAMCast: Large-Scale, Real-Time 3D Reconstruction and Streaming for Immersive Multi-Client Live Telepresence
Patrick Stotko, Stefan Krumpen, Matthias B. Hullin +2
Real-time 3D scene reconstruction from RGB-D sensor data, as well as the exploration of such data in VR/AR settings, has seen tremendous progress in recent years. The combination o…