Awesome
Learning monocular 3D reconstruction of articulated categories from motion (ACFM)
Filippos Kokkinos and Iasonas Kokkinos
<img src="https://fkokkinos.github.io/video_3d_reconstruction/resources/images/teaser2.jpg" width="50%">Requirements
- Python 3.6+
- PyTorch 1.7.0
- PyTorch3D 0.3.0, there are some breaking changes with more recent versions.
- cuda 11.0
For setup and installation refer to docs/install.md instructions.
Setup Evaluation and Training
We have separate folder for video and monocular based training.
- To train from scratch follow instructions for monocular training and video training.
- For evaluation please follow instructions for birds and quadrupeds.
Citation
If you find the code useful for your research, please consider citing:-
@InProceedings{Kokkinos_2021_CVPR,
author = {Kokkinos, Filippos and Kokkinos, Iasonas},
title = {Learning monocular 3D reconstruction of articulated categories from motion},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2021}
}
Acknowledgements
This code repository uses code from CMR and CSM repos.
Contact
For questions feel free to contact me at filippos.kokkinos[at]ucl.ac.uk .