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 | 146 | 2021 |
GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians S Qian, T Kirschstein, L Schoneveld, D Davoli, S Giebenhain, M Nie©¬ner Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern ¡¦, 2024 | 91 | 2024 |
NeRSemble: Multi-View Radiance Field Reconstruction of Human Heads T Kirschstein, S Qian, S Giebenhain, T Walter, M Nie©¬ner ACM Transactions on Graphics (TOG) 42 (4), 161:1-14, 2023 | 61 | 2023 |
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 | 61 | 2017 |
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 | 36 | 2023 |
DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars T Kirschstein, S Giebenhain, M Nie©¬ner Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern ¡¦, 2024 | 16 | 2024 |
MonoNPHM: Dynamic Head Reconstruction from Monocular Videos S Giebenhain, T Kirschstein, M Georgopoulos, M Rünz, L Agapito, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern ¡¦, 2024 | 12 | 2024 |
GGHead: Fast and Generalizable 3D Gaussian Heads T Kirschstein, S Giebenhain, J Tang, M Georgopoulos, M Nie©¬ner arXiv preprint arXiv:2406.09377, 2024 | 4 | 2024 |
NPGA: Neural Parametric Gaussian Avatars S Giebenhain, T Kirschstein, M Rünz, L Agapito, M Nie©¬ner arXiv preprint arXiv:2405.19331, 2024 | 4 | 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, ... | | |