Skip to content

rlgnswk/Motion-Infilling-pytorch-version-implementation

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

37 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Human Motion Infilling(Pytorch)


Result:


Usage:

Data

  1. Get data from Holden et al
  2. Pre-pocessing by using code from Kaufmann et al

Run on the code:

Training

python train.py --name <name_of_experiment> --datasetPath <your_train_data_path> --ValdatasetPath <your_valid/test_data_path> 

The results will save in <Code_path>/experiments(default)/

You can check the default setting and use it from line 25 to 34 <Code_path>/train.py

Visualization

The visualization codes are referd from Here

cd <Code_path>/VisualizationCode ; python view.py --name <name_of_experiment> --epoch <num of epoch(train)>

Reference

Reference Paper(3DV 2020)

Official Github (Tensorflow) of reference paper

About

Convolutional Autoencoders for Human Motion Infilling (Unofficial pytorch version implementation)

Topics

Resources

License

Stars

4 stars

Watchers

1 watching

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages