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Analysis and implementation of different types of Image in-painting using autoencoders

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Image in-painting using Autoencoders

De-noising - Used autoencoders to perform de-noising on corrupted images (manually added noise to images in the MNIST dataset)

Image masking - Used autoencoders to replace the background in images with cars with a green-screen (Carvana's Kaggle dataset)

Requirements

  • numpy
  • tensorflow
  • matplotlib
  • PIL

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Analysis and implementation of different types of Image in-painting using autoencoders

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  • Python 100.0%