Defo-Net in Tensorflow (ICRA 2018) https://arxiv.org/abs/1804.05928
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
README.md
comsoldataconversion.py
datagenerator.py
illustration.jpg
main_3D_defo_net.py
process.py
tools.py
toy_example_data.zip

README.md

Defo-Net: Learning Body Deformation using Generative Adversarial Networks

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

Teaser_Image

Full Paper

https://arxiv.org/abs/1804.05928

Project Page

http://intuitivephysics.cs.ox.ac.uk/defonet/

Video

https://youtu.be/noG5DDX3coQ

Requirements

python 2.7

tensorflow 1.5.0

numpy 1.12.1

Run

python main_3D_defo_net.py

Citation

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

@inproceedings{DefoNet,
  title = {Defo-Net: Learning body deformation using generative adversarial networks},
  author = {Z. Wang, S. Rosa, L. Xie, B. Yang, S. Wang, N. Trigoni and A. Markham},
  year = {2018},
  booktitle = {IEEE Intl Conference on Robotics and Automation (ICRA)},
  journal = {IEEE Intl Conference on Robotics and Automation (ICRA)}
}