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High Resolution Image Inpainting with Progressive Growing of GAN

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PGGANinpainting

High Resolution Image Inpainting with Progressive Growing of GAN

(image-size:256x256 pixel)(hiding-size:128x128 pixel)

How to train the model:

  1. Download the celebA dataset.
  2. Training the model

step:

 python create.py celebA
 python main.py --path=256-train_val_test/training/folder1/ --celeba=True

The picture shows Our model’s performance. (image-size:256x256 pixel)(hiding-size:128x128 pixel)

image

Overview of our method to generate the inpainting image progressively.

image

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High Resolution Image Inpainting with Progressive Growing of GAN

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