Comments (3)
Thank you for your interest in our paper! We are now focusing on publishing this work as a journal paper. So, the codes for the two applications might be released after the journal version is accepted.
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@rfuruta Two years have been passed, can you share the codes of the Image Restoration and Color Enhancement now?
from pixelrl.
I have updated README.md. You can get the codes for the two applications from the link on the document.
from pixelrl.
Related Issues (13)
- How to run in Colab HOT 6
- Regarding Testing Setup HOT 4
- Why did you augment the test set as well as the training set? And why did that boost the performance of your proposed method? HOT 1
- Reward functions used in image denoising
- image compression using PixelRL? HOT 1
- Color images? HOT 1
- 3 channel image restoration HOT 1
- Why the FCN needs a pre-trained weight? HOT 7
- What is the moved_image used for? Can you explain the function of state.step() a bit more? HOT 3
- Have you used any pre-trained weights for the colour Enhancement part? HOT 4
- Can pixelRL be combined with GAN? HOT 3
- How to run the code in google colab
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