Python-利用TensorFlow中的深度学习进行图像修复

# Image Completion with Deep Learning in TensorFlow  + [See my blog post for more details and usage instructions](http://bamos.github.io/2016/08/09/deep-completion/). + This repository implements Raymond Yeh and Chen Chen et al.'s paper [Semantic Image Inpainting with Perceptual and Contextual Losses](https://arxiv.org/abs/1607.07539). + Most of the code in this repository was written by modifying a duplicate of [Taehoon Kim's](http://carpedm20.github.io/) [DCGAN-tensorflow](https://github.com/carpedm20/DCGAN-tensorflow) project, which is MIT-licensed. My modifications are also [MIT-licensed](./LICENSE). + The [./checkpoint](./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](http://www.bibtex.org/) 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] ```