PIFA Source Code

Amin Jourabloo, Xiaoming Liu

Keywords: Face alignment

Dense Face Alignment implementation may be downloaded from here.

Pose-Invariant Face Alignment with a Single CNN implementation may be downloaded from here.

PIFA implementation may be downloaded from here.

The part of AFLW database used for training and testing can be found from here.

If you use PIFA code, please cite to the papers:

Publications

  • Dense Face Alignment
    Yaojie Liu, Amin Jourabloo, William Ren, Xiaoming Liu
    In Proceeding of International Conference on Computer Vision Workshops (ICCVW 2017), Venice, Italy, Oct. 2017
    Bibtex | PDF | arXiv | Poster | Project Webpage | Code
    • @inproceedings{ dense-face-alignment,
      author = { Yaojie Liu and Amin Jourabloo and William Ren and Xiaoming Liu },
      title = { Dense Face Alignment },
      booktitle = { In Proceeding of International Conference on Computer Vision Workshops },
      address = { Venice, Italy },
      month = { October },
      year = { 2017 },
    }
  • Pose-Invariant Face Alignment with a Single CNN
    Amin Jourabloo, Xiaoming Liu, Mao Ye, Liu Ren
    In Proceeding of International Conference on Computer Vision (ICCV 2017), Venice, Italy, Oct. 2017
    Bibtex | PDF | Project Webpage
    • @inproceedings{ pose-invariant-face-alignment-with-a-single-cnn,
      author = { Amin Jourabloo and Xiaoming Liu and Mao Ye and Liu Ren },
      title = { Pose-Invariant Face Alignment with a Single CNN },
      booktitle = { In Proceeding of International Conference on Computer Vision },
      address = { Venice, Italy },
      month = { October },
      year = { 2017 },
    }
  • Pose-Invariant Face Alignment via CNN-based Dense 3D Model Fitting
    Amin Jourabloo, Xiaoming Liu
    International Journal of Computer Vision, Vol. 124, No. 2, pp.187-203, , Apr. 2017
    Bibtex | PDF | Project Webpage
    • @article{ pose-invariant-face-alignment-via-cnn-based-dense-3d-model-fitting,
      author = { Amin Jourabloo and Xiaoming Liu },
      title = { Pose-Invariant Face Alignment via CNN-based Dense 3D Model Fitting },
      journal = { International Journal of Computer Vision },
      volume = { 124 },
      number = { 2 },
      month = { April },
      year = { 2017 },
      pages = { 187--203 },
    }
  • Large-pose Face Alignment via CNN-based Dense 3D Model Fitting
    Amin Jourabloo, Xiaoming Liu
    Proc. IEEE Computer Vision and Pattern Recogntion (CVPR 2016), Las Vegas, NV, Jun. 2016
    Bibtex | PDF | Poster | Project Webpage
    • @inproceedings{ large-pose-face-alignment-via-cnn-based-dense-3d-model-fitting,
      author = { Amin Jourabloo and Xiaoming Liu },
      title = { Large-pose Face Alignment via CNN-based Dense 3D Model Fitting },
      booktitle = { Proc. IEEE Computer Vision and Pattern Recogntion },
      address = { Las Vegas, NV },
      month = { June },
      year = { 2016 },
    }
  • Pose-Invariant 3D Face Alignment
    Amin Jourabloo, Xiaoming Liu
    Proc. International Conference on Computer Vision (ICCV 2015), Santiago, Chile, Dec. 2015
    Bibtex | PDF | Poster | Project Webpage
    • @inproceedings{ pose-invariant-3d-face-alignment,
      author = { Amin Jourabloo and Xiaoming Liu },
      title = { Pose-Invariant 3D Face Alignment },
      booktitle = { Proc. International Conference on Computer Vision },
      address = { Santiago, Chile },
      month = { December },
      year = { 2015 },
    }