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TensorFlow implementation of the CVPR 2018 spotlight paper, Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs with GANs

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**Hi,** **When I run the TF.py in the "[Online_Demo_Models]_Deep-Photo-Enhancer/LPGAN_exp_G3_736" file, I face this error:** Shapes (2, 1, 32, 32, 128) and () are incompatible in line: netG_test_output1 = model(netG, test_df.input1,...

The link here is broken: https://www.cmlab.csie.ntu.edu.tw/project/Deep-Photo-Enhancer/%5BOnline_Demo_Models%5D_Deep-Photo-Enhancer.zip Is it possible to fix this?

I want to realzie the supplementary, but "Not Found The requested URL /project/Deep-Photo-Enhancer/CVPR-2018-DPE-sm-compress.pdf was not found on this server."

Thank you for your excilent work. I would love to test some of my own data, but the links to the code and to the training model are not working....

How many parameters does you model have?

Hello, could you tell me how to run your tensorflow code on my own datasets?

The demo website seems to be unavailable, could you pls check it out? THX!

This is nice work. However, we observed some artifacts along the edges in the image. Below is one example, anyone has seen the same thing and has any idea about...

Good job! Nice code! Stilll, while I test the model whether on 577 or 736, the output photo looks a little bit bright, makes the image feel not so real,...