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Face-Parsing-Network

PyTorch implementation of Face Parsing (based on semantic segmentation)

Network originally based on : Object contour detection with a fully convolutional encoder-decoder network [J. Yang, 2016]

Used for : Generative Face Completion [Y. Li, 2017]

Used Dataset : CelebA-HQ Dataset

The network layer codes(like batch normalization, convolution...) was refer to Context Attention


  • Trained PyTorch model using all 30,000 images from CelebA-HQ dataset : Here (This pre-trained model was for making ground-truth for other face dataset)
  • Here to download 30,000 CelebA-HQ images including parsing ground-truth images

Trained with 30,000 CelebA-HQ dataset and applied it to LFW and CelebA dataset using that pre-trained model

PyTorch 1.1 + Python3.6

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PyTorch implementation of Face Parsing (based on semantic segmentation)

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