bamos / Dcgan Completion.tensorflow
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Image Completion with Deep Learning in TensorFlow
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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]
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