README.md

metadata

tags:
  - face-alignment
  - facial-landmark-detection
license: mit

Facetorch Meta File

This meta file is part of the Facetorch library, a Python toolkit for facial detection and analysis using PyTorch.

Source:

• code: SynergyNet
• challenge: Wu et al. - Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
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Usage

This meta file is designed to be used with the Facetorch library. For usage instructions, please refer to the Facetorch documentation.

Citation

If you use this meta file in your work, please make sure to appropriately credit the original authors. You may also consider citing the Facetorch library itself:

@misc{facetorch,
    author = {Gajarsky, Tomas},
    title = {Facetorch: A Python Library for Analyzing Faces Using PyTorch},
    year = {2024},
    publisher = {GitHub},
    journal = {GitHub Repository},
    howpublished = {\url{https://github.com/tomas-gajarsky/facetorch}}
}