https://github.com/xu-justin/grayscale-face-coloring

A generative model that could generate colored face images from grayscale face images.
https://github.com/xu-justin/grayscale-face-coloring

generative-adversarial-network pix2pix-tensorflow

Last synced: 6 days ago
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A generative model that could generate colored face images from grayscale face images.

• Host: GitHub
• URL: https://github.com/xu-justin/grayscale-face-coloring
• Owner: Xu-Justin
• Created: 2022-01-22T11:10:53.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2022-07-06T14:52:32.000Z (over 2 years ago)
• Last Synced: 2023-05-19T07:33:53.457Z (over 1 year ago)
• Topics: generative-adversarial-network, pix2pix-tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 668 KB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Grayscale-Face-Coloring

A generative model that could generate colored face images from grayscale face images.

  

    

    

    

    

    

  

  

    

    

    

    

    

  

Read full report about this project on this [PDF](https://drive.google.com/uc?export=download&id=1T2DBn8IIyOW_ubgOtJ6KG4emHlDgPwtN).

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#### Download Dataset

The dataset is take from [This Person Does Not Exist](https://thispersondoesnotexist.com/) using [unofficial "API" by David Lorenzo](https://github.com/David-Lor/ThisPersonDoesNotExistAPI). The dataset has been uploaded and is available to download at [Kaggle](https://www.kaggle.com/almightyj/person-face-dataset-thispersondoesnotexist). Run the following code to download the dataset from Kaggle.

    %run Dataset/import_dataset.py

#### Download Trained Model

The model has been trained for 30 epochs (30K iterations) using the 80% of dataset above. Run the following code to download the trained model.

	%run Resources/model_saved/import_trained_model.py

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Authored by William Justin.