Fraunhofer Institute for Telecommunications,
Heinrich-Hertz-Institut, HHI
Vision and Imaging TechnologiesNewsTechnologies and SolutionsResearch GroupsProjectsPublicationsPeople and ContactStudent Opportunities

Wieland Morgenstern

Wieland Morgenstern is a Research Associate at the Computer Vision and Graphics Group in the Vision and Imaging Technologies Department.

News

Our paper Compact 3D Scene Representation via Self-Organizing Gaussian Grids has been accepted at ECCV 2024 and will be presented in Milano in October!

We presented our paper Animatable Virtual Humans: Learning pose-dependent human representations in UV space for interactive performance synthesis at IEEE VR 2024!

Our paper "X-maps: Direct Depth Lookup for Event-based Structured Light Systems" has been accepted at the CVPR 2023 Workshop on Event-based Vision. Find more information on the project page https://fraunhoferhhi.github.io/X-maps/

Wieland Morgenstern is performing research in animation of humans from volumetric video, pairing mesh-based approaches with machine learning, and investigating hybrid model-based Neural Radiance Field (NeRF) approaches. A recent focus is a compact 2D-grid based representation of 3D scenes (including humans) with 3D Gaussian Splatting. Another research area is building Spatial Augmented Reality experiences with event cameras.

Before joining Fraunhofer HHI in 2018, Wieland worked as a Computer Vision Engineer at VideoStitch/Orah from 2014-2018. He received a B.Sc. degree in 2012 and a M.Sc. degree in 2015 from Ilmenau Technical University.