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I am not able to replicate "best.h5" model provided in this repo by training the code present in this repo. The model that i have produced is showing whitish thing(noise) in the output Enhanced images.
The output from "best.h5" model looks natural.
Can u Tell what is the network to be followed to generate best.h5 model you have provided in this repo.
The text was updated successfully, but these errors were encountered:
The enhanced results of the official PyTorch implementation also meet the "whitish thing" artifacts (especially on the edge regions).
I did only check the results in the readme file of TensorFlow implementation. They look good, which performs well and shows no blur effects in the edge regions.
I did several experiments on the topic (how the blur effects were raised), and I think this blur effects phenomenon sources from the proposed method (not the implementation manner). The ablation experiment results also prove that assumption.
So, the same as @Praneeth1441, I am curious in what manner did @tuvovan try to achieve this.
I am not able to replicate "best.h5" model provided in this repo by training the code present in this repo. The model that i have produced is showing whitish thing(noise) in the output Enhanced images.
The output from "best.h5" model looks natural.
Can u Tell what is the network to be followed to generate best.h5 model you have provided in this repo.
The text was updated successfully, but these errors were encountered: