GOAL: Generating 4D Whole-Body Motion for Hand-Object Grasping
Abstract
Video
Data and Code
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- GNet and MNet model files/weights (works only after sign-in)
- Code for GOAL (GitHub)
Referencing GOAL
@inproceedings{taheri2021goal,
title = {{GOAL}: {G}enerating {4D} Whole-Body Motion for Hand-Object Grasping},
author = {Taheri, Omid and Choutas, Vasileios and Black, Michael J. and Tzionas, Dimitrios},
booktitle = {Conference on Computer Vision and Pattern Recognition ({CVPR})},
year = {2022},
url = {https://goal.is.tue.mpg.de}
}
@inproceedings{GRAB:2020,
title = {{GRAB}: {A} Dataset of Whole-Body Human Grasping of Objects},
author = {Taheri, Omid and Ghorbani, Nima and Black, Michael J. and Tzionas, Dimitrios},
booktitle = {European Conference on Computer Vision ({ECCV})},
year = {2020},
url = {https://grab.is.tue.mpg.de}
}
Disclaimer
MJB has received research gift funds from Adobe, Intel, Nvidia, Facebook, and Amazon. While MJB is a part-time employee of Amazon, his research was performed solely at, and funded solely by, Max Planck. MJB has financial interests in Amazon, Datagen Technologies, and Meshcapade GmbH.
Acknowledgments
This research was partially supported by the International Max Planck Research School for Intelligent Systems (IMPRS-IS) and the Max Planck ETH Center for Learning Systems (CLS).
This work was supported by the German Federal Ministry of Education and Research (BMBF): Tubingen AI Center, FKZ: 01IS18039B.
We thank:
- Tsvetelina Alexiadis for the Mechanical Turk experiments.
- Taylor McConnell for the voice recordings.
- Joachim Tesch for the help with renderings.
- Benjamin Pellkofer for website design, IT, and web support.
Contact
For questions, please contact goal@tue.mpg.de.
For commercial licensing, please contact ps-licensing@tue.mpg.de.