flame-model

There are 12 repositories under flame-model topic.

  • soubhiksanyal/RingNet

    Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision

    Language:Python8104562170

  • Rubikplayer/flame-fitting

    Example code for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 3D keypoints and 3D scans.

    Language:Python6822555107

  • soubhiksanyal/FLAME_PyTorch

    This is a implementation of the 3D FLAME model in PyTorch

    Language:Python61541685

  • HavenFeng/photometric_optimization

    Photometric optimization code for creating the FLAME texture space and other applications

    Language:Python49692193
  • TF_FLAME

    TimoBolkart/TF_FLAME

    Tensorflow framework for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 2D or 3D keypoints, and how to generate textured head meshes from Images.

    Language:Python424226476

  • TimoBolkart/BFM_to_FLAME

    Convert from Basel Face Model (BFM) to the FLAME head model

    Language:Python37272947
  • FLAME-Universe

    TimoBolkart/FLAME-Universe

    Summary of publicly available ressources such as code, datasets, and scientific papers for the FLAME 3D head model

    31525013

  • filby89/spectre

    Official Pytorch Implementation of SPECTRE: Visual Speech-Aware Perceptual 3D Facial Expression Reconstruction from Videos

    Language:Python20951819

  • Qiulin-W/SAFA

    Official Pytorch Implementation of 3DV2021 paper: SAFA: Structure Aware Face Animation.

    Language:Python175101729

  • TimoBolkart/TEMPEH

    TEMPEH reconstructs 3D heads in dense semantic correspondence from calibrated multi-view images in about 0.3 seconds.

    Language:Python1158107

  • soubhiksanyal/now_evaluation

    This is the official repository for evaluation on the NoW Benchmark Dataset. The goal of the NoW benchmark is to introduce a standard evaluation metric to measure the accuracy and robustness of 3D face reconstruction methods from a single image under variations in viewing angle, lighting, and common occlusions.

    Language:Python9962616
  • FLAME-Blender-Add-on

    TimoBolkart/FLAME-Blender-Add-on

    Blender Add-on for the FLAME face model

    46164