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Title: GitHub - DeepLearningImageCompression/SRGAN-tensorflow: Tensorflow implementation of the SRGAN algorithm for single image super-resolution · GitHub

Open Graph Title: GitHub - DeepLearningImageCompression/SRGAN-tensorflow: Tensorflow implementation of the SRGAN algorithm for single image super-resolution

X Title: GitHub - DeepLearningImageCompression/SRGAN-tensorflow: Tensorflow implementation of the SRGAN algorithm for single image super-resolution

Description: Tensorflow implementation of the SRGAN algorithm for single image super-resolution - DeepLearningImageCompression/SRGAN-tensorflow

Open Graph Description: Tensorflow implementation of the SRGAN algorithm for single image super-resolution - DeepLearningImageCompression/SRGAN-tensorflow

X Description: Tensorflow implementation of the SRGAN algorithm for single image super-resolution - DeepLearningImageCompression/SRGAN-tensorflow

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main.py	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow/blob/master/main.py
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train_SRGAN.sh	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow/blob/master/train_SRGAN.sh
train_SRResnet.sh	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow/blob/master/train_SRResnet.sh
train_SRResnet.sh	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow/blob/master/train_SRResnet.sh
README	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow
	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow#srgan-tensorflow
	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow#introduction
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network	https://arxiv.org/pdf/1704.02470v1.pdf
paper on arxiv	https://arxiv.org/pdf/1704.02470v1.pdf
RAISE dataset	http://mmlab.science.unitn.it/RAISE/
pix2pix-tensorflow	https://github.com/affinelayer/pix2pix-tensorflow
	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow#some-results
	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow/blob/master/pic/SRGAN/comic_LR.png
	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow/blob/master/pic/images/img_005-outputs.png
	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow/blob/master/pic/SRGAN/comic_SRGAN-VGG54.png
	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow/blob/master/pic/SRGAN/comic_HR.png
	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow/blob/master/pic/SRGAN/baboon_LR.png
	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow/blob/master/pic/images/img_001-outputs.png
	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow/blob/master/pic/SRGAN/baboon_SRGAN-VGG54.png
	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow/blob/master/pic/images/img_001-targets.png
	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow#denpendency
google drive	https://drive.google.com/a/gapp.nthu.edu.tw/uc?id=0BxRIhBA0x8lHNDJFVjJEQnZtcmc&export=download
TF-slim models	http://download.tensorflow.org/models/vgg_19_2016_08_28.tar.gz
	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow#recommended
	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow#getting-started
	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow#run-test-using-pre-trained-model
	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow#run-the-inference-using-pre-trained-model-on-your-own-image
	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow#run-the-training-process
	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow#data-and-checkpoint-preparation
TF-silm model	http://download.tensorflow.org/models/vgg_19_2016_08_28.tar.gz
High-resolution images	https://drive.google.com/file/d/0BxRIhBA0x8lHYXNNVW5YS0I2eXM/view?usp=sharing
Low-resolution images	https://drive.google.com/file/d/0BxRIhBA0x8lHNnJFVUR1MjdMWnc/view?usp=sharing
	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow#train-srresnet
	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow/blob/master/pic/result/SRResnet_PSNR.png
	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow/blob/master/pic/result/SRResnet_content_loss.png
	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow#train-srgan-with-mse-loss
	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow/blob/master/pic/result/SRGAN_MSE_PSNR.png
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	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow/blob/master/pic/result/SRGAN_VGG_PSNR.png
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	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow/blob/master/pic/result/SRGAN_VGG_dl.png
	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow#more-result-on-benchmark
	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow#coming-soon
	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow#reference
C. Ledig, L. Theis, F. Huszar, J. Caballero, A. Cunningham, A. Acosta, A. Aitken, A. Tejani, J. Totz, Z. Wang, W. Shi, Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network, accepted at CVPR (oral), 2017.	https://arxiv.org/pdf/1609.04802.pdf
D.-T. Dang-Nguyen, C. Pasquini, V. Conotter, G. Boato, RAISE – A Raw Images Dataset for Digital Image Forensics, ACM Multimedia Systems, Portland, Oregon, March 18-20, 2015".	http://mmlab.science.unitn.it/RAISE/
Isola, P., Zhu, J.Y., Zhou, T., Efros, A.A. Image-to-Image Translation with Conditional Adversarial Networks CVPR, 2017.	https://arxiv.org/pdf/1611.07004v1.pdf
pix2pix-tensorflow	https://github.com/affinelayer/pix2pix-tensorflow
Readme	https://github.com/DeepLearningImageCompression/SRGAN-tensorflow#readme-ov-file
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