Image Completion with Deep Learning in TensorFlow

See my blog post for more details and usage instructions.
This repository implements Raymond Yeh and Chen Chen et al.'s paper Semantic Image Inpainting with Perceptual and Contextual Losses.
Most of the code in this repository was written by modifying a duplicate of Taehoon Kim's DCGAN-tensorflow project, which is MIT-licensed. My modifications are also MIT-licensed.
The ./checkpoint directory contains a pre-trained model for faces, trained on the CelebA dataset for 20 epochs.

Citations

Please consider citing this project in your publications if it helps your research. The following is a BibTeX and plaintext reference. The BibTeX entry requires the url LaTeX package.

@misc{amos2016image,
    title        = {{Image Completion with Deep Learning in TensorFlow}},
    author       = {Amos, Brandon},
    howpublished = {\url{http://bamos.github.io/2016/08/09/deep-completion}},
    note         = {Accessed: [Insert date here]}
}

Brandon Amos. Image Completion with Deep Learning in TensorFlow.
http://bamos.github.io/2016/08/09/deep-completion.
Accessed: [Insert date here]

deeplearningrepos/dcgan-completion.tensorflow

Image Completion with Deep Learning in TensorFlow

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Image Completion with Deep Learning in TensorFlow

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deeplearningrepos/dcgan-completion.tensorflow