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Thanks for sharing amazing awesome work! According to your paper's setting and code (task01_deblur.ipynb), we try to reproduce the results of JPEG compression artifact reduction by retraining the model you provided (epoch-445.paramOnly). However, the training process of the model is unstable, and the performance is not as good as your paper. Will you provide the code and model for JPEG compression artifact reduction? Hope to get your help.
The text was updated successfully, but these errors were encountered:
Thanks for your interest!
The released model is for image deblurring.
It is not for image denoising (i.e., removing JPEG artifacts). So you may
not want to fine-tune it.
I'd suggest you train the PFF on the jpeg images (and uncompressed
counterparts) from scratch.
I will not release the code for now, as I have been trapped in other
projects that prevent me from cleaning up my codebase.
Regards,
Shu
On Thu, May 28, 2020 at 6:57 AM zhengxinChenee ***@***.***> wrote:
Thanks for sharing amazing awesome work! According to your paper's setting
and code (task01_deblur.ipynb), we try to reproduce the results of JPEG
compression artifact reduction by retraining the model you provided
(epoch-445.paramOnly). The training process of the model is unstable, and
the performance is not as good as your paper. Will you provide the code and
model for JPEG compression artifact reduction? Hope to get your help.
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Thanks for sharing amazing awesome work! According to your paper's setting and code (task01_deblur.ipynb), we try to reproduce the results of JPEG compression artifact reduction by retraining the model you provided (epoch-445.paramOnly). However, the training process of the model is unstable, and the performance is not as good as your paper. Will you provide the code and model for JPEG compression artifact reduction? Hope to get your help.
The text was updated successfully, but these errors were encountered: