Awesome

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]