Name: Shenhan Qian
Position: Ph.D Candidate
E-Mail: shenhan.qian@tum.de
Phone: +49-89-289-18489
Room No: 02.13.034

Bio

I am a PhD student at the Visual Computing & Artificial Intelligence Group at the Technical University of Munich, working with Prof. Matthias Nießner. I received my Master’s Degree in Computer Science at ShanghaiTech University in 2022, advised by Prof. Shenghua Gao. Before that, I obtained my Bachelor’s Degree in Automation at Hunan University in 2019. Homepage.

Research Interest

3D reconstruction, neural rendering, and implicit neural representations

Publications

2024

GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians
Shenhan Qian, Tobias Kirschstein, Liam Schoneveld, Davide Davoli, Simon Giebenhain, Matthias Nießner
CVPR 2024
We introduce GaussianAvatars, a new method to create photorealistic head avatars that are fully controllable in terms of expression, pose, and viewpoint. The core idea is a dynamic 3D representation based on 3D Gaussian splats that are rigged to a parametric morphable face model. This combination facilitates photorealistic rendering while allowing for precise animation control via the underlying parametric model.
[video][bibtex][project page]

2023

NeRSemble: Multi-view Radiance Field Reconstruction of Human Heads
Tobias Kirschstein, Shenhan Qian, Simon Giebenhain, Tim Walter, Matthias Nießner
SIGGRAPH'23
We propose NeRSemble for high-quality novel view synthesis of human heads. We combine a deformation field modeling coarse motion with an ensemble of multi-resolution hash encodings to represent fine expression-dependent details. To train our model, we recorded a novel multi-view video dataset containing over 4700 sequences of human heads covering a variety of facial expressions.
[video][bibtex][project page]