README.md

FaceLift: Single Image to 3D Head with View Generation and GS-LRM

Weijie Lyu, Yi Zhou, Ming-Hsuan Yang, Zhixin Shu
University of California, Merced - Adobe Research

FaceLift takes a single image of a human face as input and generates a high-fidelity 3D Gaussian head representation. The generated Gaussian representation enables high-quality, full-head novel view synthesis (NVS) while accurately capturing fine details of the face and hair.

Citation

If you find our work useful for your project, please consider citing our paper.

@misc{lyu2024facelift,
      title={FaceLift: Single Image to 3D Head with View Generation and GS-LRM}, 
      author={Weijie Lyu and Yi Zhou and Ming-Hsuan Yang and Zhixin Shu},
      year={2024},
      eprint={2412.17812},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}