## Contributors

This repository is currently maintained by [Yu Sun](https://github.com/Arthur151).  

We thank [Peng Cheng](https://github.com/CPFLAME) for his constructive comments on Center map training.  

ROMP has also benefited from many developers, including   
 - [Marco Musy](https://github.com/marcomusy) : help in [the textured SMPL visualization](https://github.com/marcomusy/vedo/issues/371).  
 - [Gavin Gray](https://github.com/gngdb) : adding support for an elegant context manager to run code in a notebook.  
 - [VLT Media](https://github.com/vltmedia) and [Vivien Richter](https://github.com/vivi90) : adding support for running on Windows & batch_videos.py.  
 - [Chuanhang Yan](https://github.com/yanch2116) : developing an [addon for driving character in Blender](https://github.com/yanch2116/Blender-addons-for-SMPL).  
 - [Tian Jin](https://github.com/jinfagang): help in simplified smpl and fast rendering ([realrender](https://pypi.org/project/realrender/)).
 - [ZhengdiYu](https://github.com/ZhengdiYu) : helpful discussion on optimizing the implementation details.
 - [Ali Yaghoubian](https://github.com/AliYqb) : add Docker file for simple-romp.


## Related repos

Here are some great resources we benefit:

- SMPL models and layer is borrowed from MPII [SMPL-X model](https://github.com/vchoutas/smplx).
- Some functions are borrowed from [HMR-pytorch](https://github.com/MandyMo/pytorch_HMR) and [SPIN](https://github.com/nkolot/SPIN).
- The evaluation code and GT annotations of 3DPW dataset is brought from [3dpw-eval](https://github.com/aymenmir1/3dpw-eval) and [VIBE](https://github.com/mkocabas/VIBE).
- 3D mesh visualization is supported by [vedo](https://github.com/marcomusy/vedo), [EasyMocap](https://github.com/zju3dv/EasyMocap), [minimal-hand](https://github.com/CalciferZh/minimal-hand), [Open3D](https://github.com/intel-isl/Open3D), and [Pyrender](https://github.com/mmatl/pyrender).
