HeadCraft: Modeling High-Detail Shape Variations for Animated 3DMMs

no code implementations • 21 Dec 2023 • Artem Sevastopolsky, Philip-William Grassal, Simon Giebenhain, ShahRukh Athar, Luisa Verdoliva, Matthias Niessner

The decomposition of the parametric model and high-quality vertex displacements allows us to animate the model and modify it semantically.

Neural Head Avatars from Monocular RGB Videos

no code implementations • CVPR 2022 • Philip-William Grassal, Malte Prinzler, Titus Leistner, Carsten Rother, Matthias Nießner, Justus Thies

We present Neural Head Avatars, a novel neural representation that explicitly models the surface geometry and appearance of an animatable human avatar that can be used for teleconferencing in AR/VR or other applications in the movie or games industry that rely on a digital human.

Novel View Synthesis

Assessing differentially private deep learning with Membership Inference

1 code implementation • 24 Dec 2019 • Daniel Bernau, Philip-William Grassal, Jonas Robl, Florian Kerschbaum

We empirically compare local and central differential privacy mechanisms under white- and black-box membership inference to evaluate their relative privacy-accuracy trade-offs.

Inference Attack Membership Inference Attack