3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations

Zhihua Wang*, Stefano Rosa*, Bo Yang, Sen Wang, Niki Trigoni, Andrew Markham. In IJCAI 2018.
(* indicates equal contributions)

Full Paper

https://arxiv.org/abs/1805.00328

Project Page

http://intuitivephysics.cs.ox.ac.uk/3dphysnet/

Requirements

python 2.7

tensorflow 1.5.0

numpy 1.12.1

Run

python main-3D-PhysNet-IJCAI.py

Citation

If you use the paper, code or data for your research, please cite:

@inproceedings{3dphysnet,
  title = {3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations},
  author = {Z. Wang, S. Rosa, B. Yang, S. Wang, N. Trigoni and A. Markham},
  year = {2018},
  booktitle = {Intl Joint Conference on Artificial Intelligence (IJCAI)},
  journal =  {Intl Joint Conference on Artificial Intelligence (IJCAI)}
}