- Tensorflow
Download following pre-processed training data (10GB) and unzip into ./data/300W_LP/ Filelist Images Textures Masks
$ # Compile
$ cd TF_newop/
$ ./compile_op_v2_sz224.sh
$ # Run an example
$ python rendering_example.py
Currently the code is working but not optimal (i.e see line 139 of TF_newop/cuda_op_kernel_v2_sz224.cu.cc) also the image size is hard-coded. Any contribution is welcome!
Pretraining
Finetunning
If you find this work useful, please cite our papers with the following bibtex:
@inproceedings{ tran2019towards,
author = { Luan Tran and Feng Liu and Xiaoming Liu },
title = { Towards High-fidelity Nonlinear 3D Face Morphable Model },
booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
address = { Long Beach, CA },
month = { June },
year = { 2019 },
}
@article{ tran2018on,
author = { Luan Tran and Xiaoming Liu },
title = { On Learning 3D Face Morphable Model from In-the-wild Images },
journal = { arXiv preprint arXiv:1808.09560 },
year = { 2018 },
}
@inproceedings{ tran2018nonlinear,
author = { Luan Tran and Xiaoming Liu },
title = { Nonlinear 3D Face Morphable Model },
booktitle = { IEEE Computer Vision and Pattern Recognition (CVPR) },
address = { Salt Lake City, UT },
month = { June },
year = { 2018 },
}
If you have any questions, feel free to drop an email to [email protected].