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BFM

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Prepare BFM data

  1. Download raw BFM model

    website: https://faces.dmi.unibas.ch/bfm/main.php?nav=1-2&id=downloads

    copy 01_MorphabelModel.mat to raw/

  2. Download extra BFM information from 3DDFA(Face Alignment Across Large Poses: A 3D Solution) and HFPE(High-Fidelity Pose and Expression Normalization for Face Recognition in the Wild)

    website: http://www.cbsr.ia.ac.cn/users/xiangyuzhu/projects/3DDFA/main.htm

    download [Face Profiling] and [3DDFA]

    website: http://www.cbsr.ia.ac.cn/users/xiangyuzhu/projects/HPEN/main.htm

    download [HPEN]

    copy *.mat to 3ddfa/

  3. Download UV coordinates fom STN

    website: https://github.com/anilbas/3DMMasSTN/blob/master/util/BFM_UV.mat

    copy BFM_UV.mat to stn/

  4. run generate.m in Matlab

Files will be saved in Out/

Note:

you need mkdir folders yourself, since I can not upload empty folder to github.