Skip to content

Juyong/DHNN_BodyRepresentation

master
Switch branches/tags
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
src
 
 
 
 

DHNN_BodyRepresentation

This repository includes the experiment code and trained model of paper "Disentangled Human Body Embedding Based on Deep Hierarchical Neural Network", TVCG 2020, https://arxiv.org/abs/1905.05622. Authors: Boyi Jiang, Juyong Zhang, Jianfei Cai and Jianmin Zheng

Dataset

The transformed connectivity consistent human body dataset, including the ACAP feature and mesh file, can be downloaded here. Note that these meshes are transformed from partial data of other datasets, including SCAPE, FAUST, Dyna, MANO, Hasler et al and SPRING. No commercial usage of the data is allowed.

Requirements

1. Basic Environment

  • Ubuntu, TITAN Xp, CUDA-10.0, Python 3.7
  • Python packages: PyTorch(1.3.0), PyTorch geometric(1.3.2), Numpy, openmesh, opencv, batch_knn(some experiment codes need).

2. Install

  • Make a folder called "models" in the repository directory.
  • Download the trained model and unzip to the "models" folder..
  • Download the trained extension model and unzip to the "models" folder.(Optional)

Usage

The "exps" folder includes sample codes with test data of several experiments described in the paper.

  • PoseTransfer:A sample code of pose transfer, running this code should produce the results of figure 13 in the paper.
  • point2point: A sample code for registering meshes with same connectivity.
  • DFaustFit: A sample code of the DFaust registration experiment. (about 10 minutes)
  • FaustAlign: A sample code of Faust alignment experiment.(about 20 minutes)
  • BodyFrom2DJoints: A sample code of 3D body pose estimation from 2D joints.

Citation

Please cite the following paper if it helps your research:

@article{Jiang2020HumanBody,
     title={Disentangled Human Body Embedding Based on Deep Hierarchical Neural Network},
     author={Jiang, Boyi and Zhang, Juyong and Cai, Jianfei and Zheng, Jianmin},
     booktitle={IEEE Transactions on Visualization and Computer Graphics},
     year={2020}
}

About

Source code for the paper "Disentangled Human Body Embedding Based on Deep Hierarchical Neural Network" (TVCG2020).

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages