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[NeurIPS'24] Official implementation of "HumanSplat: Generalizable Single-Image Human Gaussian Splatting with Structure Priors"

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🔥 HumanSplat: Generalizable Single-Image Human Gaussian Splatting with Structure Priors

Arxiv Project Page Code License: MIT

HumanSplat predicts 3D Gaussian Splatting properties from a single input image in a generalizable manner.

📊 Dataset

Download human datasets (Thuman2.0, 2K2K and Twindom) and organize them as follows:

${ROOT} 
├──📂data/
    ├──📂Thuman2/
       ├── 📂0000/
       ├── 📂...
       ├── 📂0525/
    ├──📂2K2K/
       ├── 📂00003/
       ├── 📂...
       ├── 📂04739/
    ├──📂Twindom/

🔧 Installation

(1) Register an account and run bash settings/fetch_hps.sh

Register an username & password for pixie and SMPLX is required.

bash settings/fetch_hps.sh

(2)Additionally install dependencies and setup the environment:

bash settings/setup.sh

HPS (Human Pose and Shape) Estimation

🚀 HPS Usage
# init revebg, load pretrained models, and predict HPS
python3 src/predit_hps.py

🚀 Usage

The code has been recently tidied up for release and could perhaps contain bugs. Please feel free to open an issue.

📚 Citation

If you find our work useful for your research, please consider citing and starring the repo ⭐. Thank you very much.

@article{pan2024humansplat,
  title={HumanSplat: Generalizable Single-Image Human Gaussian Splatting with Structure Priors},
  author={Pan, Panwang and Su, Zhuo and Lin, Chenguo and Fan, Zhen and Zhang, Yongjie and Li, Zeming and Shen, Tingting and Mu, Yadong and Liu, Yebin},
  journal={arXiv preprint arXiv:2406.12459},
  year={2024}
}

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[NeurIPS'24] Official implementation of "HumanSplat: Generalizable Single-Image Human Gaussian Splatting with Structure Priors"

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