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Simon Giebenhain
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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
252023
Learning Neural Parametric Head Models
S Giebenhain, T Kirschstein, M Georgopoulos, M Rünz, L Agapito, ...
arXiv preprint arXiv:2212.02761, 2022
222022
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
192021
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
152023
AIR-Nets: An Attention-Based Framework for Locally Conditioned Implicit Representations
S Giebenhain, B Goldlücke
arXiv preprint arXiv:2110.11860, 2021
142021
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
32022
DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars
T Kirschstein, S Giebenhain, M Nießner
arXiv preprint arXiv:2311.18635, 2023
22023
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, ...
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Articles 1–10