Bernhard Egger
Egor Zakharov
Bernhard Egger
I am a researcher in the Cognitive Computer Vision Lab within the Chair of Visual Computing at Friedrich-Alexander-Universität Erlangen-Nürnberg , advised by Prof. Dr. Bernhard Egger . My research interests are within Computer Vision and Computer Graphics fields, with a focus on Neural Scene Representations, 3D Reconstruction, and Shape Modelling. Before joining FAU, I obtained my M. Sc. in Data Science from the Skolkovo Institute of Science and Technology and collaborated with Samsung AI Center on 3D Compu
We propose an approach that can accurately reconstruct hair geometry at a strand level from a monocular video or multi-view images captured in uncontrolled lighting conditions. Our method has two stages, with the first stage performing joint reconstruction of coarse hair and bust shapes and hair orientation using implicit volumetric representations. The second stage then estimates a strand-level hair reconstruction by reconciling in a single optimization process the coarse volumetric constraints with hair s
In recent years, neural distance functions trained via volumetric ray marching have been widely adopted for multi-view 3D reconstruction. These methods, however, apply the ray marching procedure for the entire scene volume, leading to reduced sampling efficiency and, as a result, lower reconstruction quality in the areas of high-frequency details. In this work, we address this problem via joint training of the implicit function and our new coarse sphere-based surface reconstruction. We use the coarse repres
Bernhard Egger
Egor Zakharov
Bernhard Egger