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[ICCV'2021] "SSH: A Self-Supervised Framework for Image Harmonization", Yifan Jiang, He Zhang, Jianming Zhang, Yilin Wang, Zhe Lin, Kalyan Sunkavalli, Simon Chen, Sohrab Amirghodsi, Sarah Kong, Zhangyang Wang

License: Other

Jupyter Notebook 81.11% Python 18.89%

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ssharmonization's Issues

About opt in the code

Hi, I encounter "opt" not defined problem.
I can't find where opt is declared.
And the class OPT is empty.
Does that mean user have to define their own OPT ?

"transform" not defined problem

Hi, I encounter the problem that "transform" not is defined.
comp = transform(comp) mask = tf.to_tensor(mask) real = transform(real)

demo.ipynb doesn't work

Hi, I've tried to run demo but it doesn't work.
It seems there is no requirements.txt in this repository, could you please add?
Also there is no colour_checker_detection directory in this folder.

Thanks!

About input of two networks

Hello.
In the supplementary material, I would like to ask why the input channel of the content network is 4 , is it adding mask in addition to the picture input of three channels? If so, why the input channel of reference network is three channels without mask channel?
图片

training datasets

This is really great work, could you please provide the training set?

about the LUTs

great work!!! I have a question about the LUTs: "Given one input image, there exist hundreds of LUTs that can be applied to generate its stylized versions and dramatically enrich the training data", is that mean, there are "hundreds of LUTs" templates for you to process the images during the training phase? if yes, where can I get these LUTs? thanks a lot.

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