NeRSemble: Multi-view Radiance Field Reconstruction of Human Heads T Kirschstein, S Qian, S Giebenhain, T Walter, M Nießner arXiv preprint arXiv:2305.03027, 2023 | 27 | 2023 |
Learning Neural Parametric Head Models S Giebenhain, T Kirschstein, M Georgopoulos, M Rünz, L Agapito, ... arXiv preprint arXiv:2212.02761, 2022 | 22 | 2022 |
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 | 21 | 2023 |
Radar Ghost Target Detection via Multimodal Transformers LC Wang, S Giebenhain, C Anklam, B Goldluecke IEEE Robotics and Automation Letters 6 (4), 7758-7765, 2021 | 19 | 2021 |
AIR-Nets: An Attention-Based Framework for Locally Conditioned Implicit Representations S Giebenhain, B Goldlücke arXiv preprint arXiv:2110.11860, 2021 | 14 | 2021 |
Neural Puppeteer: Keypoint-Based Neural Rendering of Dynamic Shapes S Giebenhain, U Waldmann, O Johannsen, B Goldluecke Proceedings of the Asian Conference on Computer Vision, 2830-2847, 2022 | 3 | 2022 |
DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars T Kirschstein, S Giebenhain, M Nießner arXiv preprint arXiv:2311.18635, 2023 | 2 | 2023 |
MonoNPHM: Dynamic Head Reconstruction from Monocular Videos S Giebenhain, T Kirschstein, M Georgopoulos, M Rünz, L Agapito, ... arXiv preprint arXiv:2312.06740, 2023 | | 2023 |
Multiple Object Tracking Based on Paint Patterns S Giebenhain Universität Konstanz, 2020 | | 2020 |
Supplementary Material: Learning Neural Parametric Head Models S Giebenhain, T Kirschstein, M Georgopoulos, M Rünz, L Agapito, ... | | |