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Do you think this method has a chance to be used in image dehazing? Current studies on dehazing all use synthetic virtual images, and the trained dehazing network is not effective on real data sets
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Hi,
can you please share pre-trained dehazing model? the existing latent-dehazing.pth is not generating the results as you have shown in the document.
Thanks
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I am trying to run the dehazing model on the provided sample image 'data/girls.jpg'.
Got the following error at dehazing step
```
>> dehaze = run_cnn(haze);
Error using convConst
A must be a 4x4 …
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I'm very interested in your fantastic work! But after I used the method write in readme to train the model, I test it on hazy dataset, the result is terrible, can you tell me what the problem with me?…
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sampling_mode: sde
sampling_mode: posterior
Hi I would like to ask what is this sampling mode below
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I'm trying to reproduce the results from the paper, but using using http://mcl.korea.ac.kr/projects/dehazing/results/horse.jpg from http://mcl.korea.ac.kr/projects/dehazing/ and:
```
# Imports
impo…
Selur updated
3 years ago
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Dear Yuning Cui,
I am writing this issue to ask how can I test SANet with single-image defocus deblurring task (DPDD).
In the paper, it was said that:
> To verify the effectiveness of our SAN…
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## Background
- streamlit 화면인 app.py 만 수정했기 때문에 이슈에 app.py 코드만 올렸습니다.
- 사진 업로드하면, 중앙에 '원하는 구름 이미지를 선택해주세요' 버튼이 뜨는데, 이를 누르면 자동으로 '구름 선택 안함'이 설정되서 dehazed image가 왼쪽에 나타납니다.
- 그 후 자유롭게 어떤 구름을 선택할 지 결정…
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The length and width of the image after dehazing are four pixels more than the input image. Who can help me solve this problem to make the input and output sizes the same. Thanks。
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Thank you for your excellent job about the unsupervised image dehazing, I am very interested in it. However, an error occured during the training process, as follows:
![image](https://user-images.git…