esrgan-tf2

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Bumps [tensorflow-gpu](https://github.com/tensorflow/tensorflow) from 2.1.0 to 2.7.2. Release notes Sourced from tensorflow-gpu's releases. TensorFlow 2.7.2 Release 2.7.2 This releases introduces several vulnerability fixes: Fixes a code injection in saved_model_cli (CVE-2022-29216) Fixes...

dependabot[bot]

Hello @peteryuX , It's a nice work and appreciatable for converting from pytorch to tensorflow. I have a doubt that can we perform transfer learning in this ESRGAN model for...

eshwarkamal

Loss is always nan

1

Hello PeteryuX, Thanks a lot for sharing your implementation of ESRGAN. I have been testing some of the GAN based superresolution network recently. I have got a lot of training...

taoyu17

Export to ONNX Model and Inference with ONNXRuntime

kisaragychihaya

NOT an issue: It works amazingly well. However, use Spectral Normalization will converge VERY fast and nice !

1

Your codes works amazingly well. However, use Spectral Normalization will converge VERY fast and nice ! That is all. I changed 2 things: (1) Added Spectral Normalization to Conv2D layers...

thusinh1969

After full training, my result is not good. SRGAN trained by a colleague is better than the trained by me on ESRGAN. Why I see artifacts on images? What I...

SolicTous

I am able to test the image but only with comparison mode, basically where the BiCu, ESRGAN, HR outputs are stitched. I am not able to get a singular up-scaled...

santosh-shriyan

I have SR Resnet and the it faster than esrgan about x6 (speed). How to enhanse the network to be faster? With some loss in quality.

SolicTous

Hi, I'm here again!becuase i maybe find the wrong code. In the code. `def generator_loss(hr, sr): return cross_entropy(tf.ones_like(sr), sigma(sr))` I have a question that tf.one_like maybe hr, sigma(sr)

weizhiliang0520

Hi! I want to know how to test by using the LR images?

weizhiliang0520