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3DDFA-V1 XLR8TD: Towards a Real-Time Lightweight Facial Reconstruction Model

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Towards Real-Time Lightweight Facial Reconstruction Model

By Victor Hernández-Manrique, Miguel González-Mendoza, EugeniaVirtualHumans.

[Updates]

  • 2024.02.21: Finished documentation of 3DDFA-V1 XLR8TD for its installation and usage.
  • 2024.01.31: Creation of repository "3DDFA-V1 XLR8TD"

Requirements

  • Ubuntu >=23.10
  • Anaconda >=24.1.0

Usage

  1. Clone this repo

    git clone https://github.com/VictorHManrique/3DDFA-V1-XLR8TD.git
    
    cd 3DDFA-V1-XLR8TD
    

    Then, download dlib landmark pre-trained model in Google Drive or Baidu Yun, and put it into models directory. (To reduce this repo's size)

  2. Create Conda Environment

    conda env create -f environment.yml
    
  3. Activate Conda Environment

    conda activate XLR8TD
    
  4. Build cython module (just one line for building)

    cd utils/cython
    
    python3 setup.py build_ext -i
    
  5. Return to Main

    cd ../..
    
  6. Run the UI

    python3 xlr8td.py
    
  7. Once the UI is displayed, click on the XLR8TD button.

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3DDFA-V1 XLR8TD: Towards a Real-Time Lightweight Facial Reconstruction Model

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  • Python 80.0%
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