This repository contains code corresponding to the paper Tex2Shape: Detailed Full Human Body Geometry from a Single Image.
Download and unpack the SMPL model from https://smpl.is.tue.mpg.de/ and link the files to the vendor directory.
cd vendor/smpl
ln -s <path_to_smpl>/smpl_webuser/*.py .
Download the neutral SMPL model from https://smplify.is.tue.mpg.de/ and place it in the assets folder.
cp <path_to_smplify>/code/models/basicModel_neutral_lbs_10_207_0_v1.0.0.pkl assets/neutral_smpl.pkl
Download pre-trained model weights from here and place them in the weights folder.
unzip <downloads_folder>/weights_tex2shape.zip -d weights
- Python 2.7
- tensorflow
- keras
- chumpy
- openCV
conda create --name py2 python=2.7
conda activate py2
pip install tensorflow-gpu
pip install keras
pip install chumpy
pip install opencv-python
We provide a run script (run.py) and sample data for single subject and batch processing.
The script outputs usage information when executed without parameters.
We provide sample scripts for both modes:
bash run_demo.sh
bash run_batch_demo.sh
If you want to process your own data, some pre-processing steps are needed:
- Crop your images to 1024x1024px.
- Run DensePose on your images.
Cropped images and DensePose IUV detections form the input to Tex2Shape. See data folder for sample data.
The person in the image should be roughly facing the camera, should be fully visible, and cover about 70-80% of the image height. Avoid heavy lens-distortion, small focal-legths, or uncommon viewing angles for better performance. If multiple people are visible, make sure the IUV detections only contain the person of interest.
This repository contains code corresponding to:
T. Alldieck, G. Pons-Moll, C. Theobalt, and M. Magnor. Tex2Shape: Detailed Full Human Body Geometry from a Single Image. In IEEE International Conference on Computer Vision, 2019.
Please cite as:
@inproceedings{alldieck2019tex2shape,
title = {Tex2Shape: Detailed Full Human Body Geometry from a Single Image},
author = {Alldieck, Thiemo and Pons-Moll, Gerard and Theobalt, Christian and Magnor, Marcus},
booktitle = {{IEEE} International Conference on Computer Vision ({ICCV})},
year = {2019}
}
Copyright (c) 2019 Thiemo Alldieck, Technische Universität Braunschweig, Max-Planck-Gesellschaft
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