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Tensorflow implementation of pixel-recursive-super-resolution(Google Brain paper:https://arxiv.org/abs/1702.00783)
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TensorFlow implementation ofPixel Recursive Super Resolution. This implementation contains:
- Python 2.7
- Skimage
- TensorFlow 1.0
First, download datacelebA
$ 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.txtTo 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
Training after 30000 iteration.
cross entropy loss:
nilboy /@nilboy
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Tensorflow implementation of pixel-recursive-super-resolution(Google Brain paper:https://arxiv.org/abs/1702.00783)
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