Tobias Kirschstein

According to our database, Tobias Kirschstein authored at least 11 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

GAF: Gaussian Avatar Reconstruction from Monocular Videos via Multi-view Diffusion.

Jiapeng Tang, Davide Davoli, Tobias Kirschstein, Liam Schoneveld, Matthias Nießner

CoRR, 2024

GaussianSpeech: Audio-Driven Gaussian Avatars.

Shivangi Aneja, Artem Sevastopolsky, Tobias Kirschstein, Justus Thies, Angela Dai, Matthias Nießner

CoRR, 2024

GGHead: Fast and Generalizable 3D Gaussian Heads.

Tobias Kirschstein, Simon Giebenhain, Jiapeng Tang, Markos Georgopoulos, Matthias Nießner

Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

NPGA: Neural Parametric Gaussian Avatars.

Simon Giebenhain, Tobias Kirschstein, Martin Rünz, Lourdes Agapito, Matthias Nießner

Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians.

Shenhan Qian, Tobias Kirschstein, Liam Schoneveld, Davide Davoli, Simon Giebenhain, Matthias Nießner

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars.

Tobias Kirschstein, Simon Giebenhain, Matthias Nießner

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

MonoNPHM: Dynamic Head Reconstruction from Monocular Videos.

Simon Giebenhain, Tobias Kirschstein, Markos Georgopoulos, Martin Rünz, Lourdes Agapito, Matthias Nießner

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

NeRSemble: Multi-view Radiance Field Reconstruction of Human Heads.

Tobias Kirschstein, Shenhan Qian, Simon Giebenhain, Tim Walter, Matthias Nießner

ACM Trans. Graph., August, 2023

Learning Neural Parametric Head Models.

Simon Giebenhain, Tobias Kirschstein, Markos Georgopoulos, Martin Rünz, Lourdes Agapito, Matthias Nießner

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

Language-Agnostic Representation Learning of Source Code from Structure and Context.

Daniel Zügner, Tobias Kirschstein, Michele Catasta, Jure Leskovec, Stephan Günnemann

Proceedings of the 9th International Conference on Learning Representations, 2021

2017

End-to-end learning for dimensional emotion recognition from physiological signals.

Gil Keren, Tobias Kirschstein, Erik Marchi, Fabien Ringeval, Björn W. Schuller

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017