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Simon Giebenhain
Simon Giebenhain
tum.de üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
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Alıntı yapanlar
Alıntı yapanlar
Yıl
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
1752024
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
972023
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
582023
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
302024
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
252021
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
202024
Gghead: Fast and generalizable 3d gaussian heads
T Kirschstein, S Giebenhain, J Tang, M Georgopoulos, M Nießner
SIGGRAPH Asia 2024 Conference Papers, 1-11, 2024
192024
Npga: Neural parametric gaussian avatars
S Giebenhain, T Kirschstein, M Rünz, L Agapito, M Nießner
SIGGRAPH Asia 2024 Conference Papers, 1-11, 2024
192024
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
152021
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
122022
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
12023
Pixel3DMM: Versatile Screen-Space Priors for Single-Image 3D Face Reconstruction
S Giebenhain, T Kirschstein, M Rünz, L Agapito, M Nießner
arXiv preprint arXiv:2505.00615, 2025
2025
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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