Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/nilboy/pixel-recursive-super-resolution
Tensorflow implementation of pixel-recursive-super-resolution(Google Brain paper: https://arxiv.org/abs/1702.00783)
https://github.com/nilboy/pixel-recursive-super-resolution
pixelcnn pixelrnn super-resolution tensorflow
Last synced: 22 days ago
JSON representation
Tensorflow implementation of pixel-recursive-super-resolution(Google Brain paper: https://arxiv.org/abs/1702.00783)
- Host: GitHub
- URL: https://github.com/nilboy/pixel-recursive-super-resolution
- Owner: nilboy
- License: mit
- Created: 2017-02-21T14:18:31.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2019-05-07T14:28:17.000Z (over 5 years ago)
- Last Synced: 2024-08-05T17:38:51.553Z (4 months ago)
- Topics: pixelcnn, pixelrnn, super-resolution, tensorflow
- Language: Python
- Homepage:
- Size: 292 KB
- Stars: 485
- Watchers: 30
- Forks: 147
- Open Issues: 14
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-hacking-lists - nilboy/pixel-recursive-super-resolution - Tensorflow implementation of pixel-recursive-super-resolution(Google Brain paper: https://arxiv.org/abs/1702.00783) (Python)
README
# Pixel Recursive Super Resolution
TensorFlow implementation of [Pixel Recursive Super Resolution](https://arxiv.org/abs/1702.00783). This implementation contains:
![model](./assets/model.png)
## Requirements
- Python 2.7
- [Skimage](http://scikit-image.org/)
- [TensorFlow](https://www.tensorflow.org/) 1.0## Usage
First, download data [celebA](http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html)
$ mkdir data
$ cd data
$ ln -s $celebA_path celebAThen, create image_list file:
$ python tools/create_img_lists.py --dataset=data/celebA --outfile=data/train.txt
To train model on gpu:
$ python tools/train.py
(or $ python tools/train.py --device_id=0)To train model on cpu:
$ python tools/train.py --use_gpu=False## Samples
Training after 30000 iteration.
![sample.png](./assets/sample.png)
## Training details
cross entropy loss:
![curve.png](./assets/curve.png)
## Author
nilboy / [@nilboy](https://github.com/nilboy)