Follow
Tobias Kirschstein
Tobias Kirschstein
Verified email at tum.de - Homepage
Title
Cited by
Cited by
Year
Language-agnostic representation learning of source code from structure and context
D Zügner, T Kirschstein, M Catasta, J Leskovec, S Günnemann
arXiv preprint arXiv:2103.11318, 2021
1332021
End-to-end learning for dimensional emotion recognition from physiological signals
G Keren, T Kirschstein, E Marchi, F Ringeval, B Schuller
2017 IEEE International Conference on Multimedia and Expo (ICME), 985-990, 2017
582017
NeRSemble: Multi-View Radiance Field Reconstruction of Human Heads
T Kirschstein, S Qian, S Giebenhain, T Walter, M Nießner
ACM Transactions on Graphics (TOG) 42 (4), 161:1-14, 2023
322023
GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians
S Qian, T Kirschstein, L Schoneveld, D Davoli, S Giebenhain, M Nießner
arXiv preprint arXiv:2312.02069, 2023
312023
Learning Neural Parametric Head Models
S Giebenhain, T Kirschstein, M Georgopoulos, M Rünz, L Agapito, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
262023
MonoNPHM: Dynamic Head Reconstruction from Monocular Videos
S Giebenhain, T Kirschstein, M Georgopoulos, M Rünz, L Agapito, ...
arXiv preprint arXiv:2312.06740, 2023
52023
DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars
T Kirschstein, S Giebenhain, M Nießner
arXiv preprint arXiv:2311.18635, 2023
42023
NPGA: Neural Parametric Gaussian Avatars
S Giebenhain, T Kirschstein, M Rünz, L Agapito, M Nießner
arXiv preprint arXiv:2405.19331, 2024
2024
Supplementary Material: Learning Neural Parametric Head Models
S Giebenhain, T Kirschstein, M Georgopoulos, M Rünz, L Agapito, ...
TUM Data Innovation Lab
J Beck, LM Bernhardt, H Chauhan, T Kirschstein, M Maier-Borst, ...
The system can't perform the operation now. Try again later.
Articles 1–10