zllrunning/face-parsing.PyTorch
A PyTorch implementation of modified BiSeNet for semantic segmentation of human faces into facial region components.
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This repository implements a face parsing model using a modified BiSeNet (Bilateral Segmentation Network) architecture trained in PyTorch. The model performs pixel-level semantic segmentation on facial images, dividing them into distinct regions such as skin, eyes, mouth, hair, and other facial components. It is trained on the CelebAMask-HQ dataset and includes scripts for data preprocessing, distributed training, and evaluation. A companion project demonstrates using the parsing maps for face makeup transfer applications.
Frequently asked
- What is zllrunning/face-parsing.PyTorch?
- A PyTorch implementation of modified BiSeNet for semantic segmentation of human faces into facial region components.
- Is face-parsing.PyTorch open source?
- Yes — zllrunning/face-parsing.PyTorch is open source, released under the MIT license.
- What language is face-parsing.PyTorch written in?
- zllrunning/face-parsing.PyTorch is primarily written in Python.
- How popular is face-parsing.PyTorch?
- zllrunning/face-parsing.PyTorch has 2.6k stars on GitHub.
- Where can I find face-parsing.PyTorch?
- zllrunning/face-parsing.PyTorch is on GitHub at https://github.com/zllrunning/face-parsing.PyTorch.