This is the official PyTorch implementation of Get3DHuman.

• Synthetic data (with latent code)
• Inference code
• Pretrained weights
• Training Code

• Python 3
• PyTorch tested on 1.8.0+cu111

• Download pretrained models from the following link and copy them into a same file.

S&T pretrained model or S&T pretrained model_v2.

Re pretrained model

• Enter the code path and run:

cd GET3DHUMAN_CODE_PATH
pip install -r requirements.txt
python inference.py --model_path PRETRAINED_MODELS_PATH --sample_num 1  

The results will be saved in "./results". Like sample

Note: A GTX 3090 is recommended to run Get3DHuman, make sure enough GPU memory if using other cards.

If you use Get3DHuman in your research, please consider the following BibTeX entry and give a star🌟!

@inproceedings{xiong2023Get3DHuman,
    author    = {Xiong, Zhangyang and Kang, Di and Jin, Derong and Chen, Weikai and Bao, Linchao and Cui, Shuguang and Han, Xiaoguang},
    title     = {Get3DHuman: Lifting StyleGAN-Human into a 3D Generative Model Using Pixel-Aligned Reconstruction Priors},
    booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    month     = {October},
    year      = {2023},
    pages     = {9287-9297}
}

Here are some great resources we benefit or utilize from:

• Stylegan-Human
• PIFu
• Stylegan2