Name: Jiapeng Tang
Position: Ph.D Candidate
Phone: +49-89-289-18489
Room No: 02.07.037


Jiapeng Tang is a Ph.D. student at the Visual Computing Lab advised by Prof. Matthias Nießner. His research focuses on understanding and reconstructing dynamic 3D environments. He received his Bachelor and Master degrees in Electronic Engineering at South China University of Technology. Homepage

Research Interest

3D Reconstruction, Non-rigid reconstruction and Tracking, Scene Understanding



Neural Shape Deformation Priors
Jiapeng Tang, Lev Markhasin, Bi Wang, Justus Thies, Matthias Nießner
NeurIPS 2022
We present Neural Shape Deformation Priors, a novel method for shape manipulation that predicts mesh deformations of non-rigid objects from user-provided handle movements. We learn the geometry-aware deformation behavior from a large-scale dataset containing a diverse set of non-rigid deformations. We introduce transformer-based deformation networks that represent a shape deformation as a composition of local surface deformations.
[video][code][bibtex][project page]