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ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an unofficial implementation. With Colab.

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Hi, I come here again! I want to know how long did you train the best model? what's kind of GPU did you run? Thanks!

When I training the ESRGAN,the D-loss falling to zero after few steps.

Hi, when i use your code training the image, _size: 75--->300 , batch_size=4, but it's very slow,and stopped by 'itself', the info about train frozen? thanks!

when update the gradient , did not freeze g or d in code ` @tf.function def train_step(lr, hr): with tf.GradientTape(persistent=True) as tape: sr = generator(lr, training=True) hr_output = discriminator(hr, training=True)...

Bumps [tensorflow-gpu](https://github.com/tensorflow/tensorflow) from 2.1.0 to 2.12.0. Release notes Sourced from tensorflow-gpu's releases. TensorFlow 2.12.0 Release 2.12.0 TensorFlow Breaking Changes Build, Compilation and Packaging Removed redundant packages tensorflow-gpu and tf-nightly-gpu. These...

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