Skip to content

Fork of the Signed Distance Field function used for interpenetration loss in Coherent Reconstruction of Multiple Humans from a Single Image.

Notifications You must be signed in to change notification settings

kidkych/sdf_pytorch

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Implementation of the SDF Loss

In this package we provide a CUDA implementation of the SDF computation as well as of the SDF-based collision function.

Installation instructions

You can install the package by running

python setup.py install

Acknowledgements

Our SDF CUDA kernels are based on the original C++ implementation by David Stutz.

Citing

If you find this code useful for your research or the use data generated by our method, please consider citing the following paper:

@Inproceedings{jiang2020mpshape,
Title          = {Coherent Reconstruction of Multiple Humans from a Single Image},
Author         = {Jiang, Wen and Kolotouros, Nikos and Pavlakos, Georgios and Zhou, Xiaowei and Daniilidis, Kostas},
Booktitle      = {CVPR},
Year           = {2020}
}

About

Fork of the Signed Distance Field function used for interpenetration loss in Coherent Reconstruction of Multiple Humans from a Single Image.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published