Follow
Simon Giebenhain
Title
Cited by
Cited by
Year
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), 1-14, 2023
322023
Gaussianavatars: Photorealistic head avatars with rigged 3d gaussians
S Qian, T Kirschstein, L Schoneveld, D Davoli, S Giebenhain, M Nießner
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
312024
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
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
Air-nets: An attention-based framework for locally conditioned implicit representations
S Giebenhain, B Goldlücke
2021 International Conference on 3D Vision (3DV), 1054-1064, 2021
142021
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
52024
Diffusionavatars: Deferred diffusion for high-fidelity 3d head avatars
T Kirschstein, S Giebenhain, M Nießner
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
42024
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
42022
NPGA: Neural Parametric Gaussian Avatars
S Giebenhain, T Kirschstein, M Rünz, L Agapito, M Nießner
arXiv preprint arXiv:2405.19331, 2024
2024
HeadCraft: Modeling High-Detail Shape Variations for Animated 3DMMs
A Sevastopolsky, PW Grassal, S Giebenhain, SR Athar, L Verdoliva, ...
arXiv preprint arXiv:2312.14140, 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, ...
The system can't perform the operation now. Try again later.
Articles 1–12