4 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…
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…
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…