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 http://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 http://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

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:

1. Crop your images to 1024x1024px.
2. 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

Please read carefully the following terms and conditions and any accompanying documentation before you download and/or use this software and associated documentation files (the "Software").

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The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. You agree to cite the Tex2Shape: Detailed Full Human Body Geometry from a Single Image paper in documents and papers that report on research using this Software.