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Implementation of : Semantic Image Inpainting with Perceptual and Contextual Losses Raymond

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avhirupc/Semantic-Image-Completion

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Semantic Inpainting using DCGANs


This is an experimental tensorflow implementation of semantic inpainting from corrupted images using DCGANs from the paper Semantic Image Inpainting with Perceptual and Contextual Losses. A major help was Brandon Amos blog on Image Completion.One of the major difference between is the training method used.I have used Adam Optimizer instead of gradient descent.


Requirements

  • Tensorflow
  • glob
  • Python 3

Dataset

  • I have used Celebrity faces dataset CelebA.Download the aligned version ,extract in the same directory as the code

Model Architecture

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Few Results are Partial Training

Note: Due to unavailabity of GPU,i didnt train the model for long.This results are after an hour of training

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