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### Model/Pipeline/Scheduler description
Achieving faithful image-to-noise inversion with Denoising Diffusion models remains a challenge, particularly for more recent models trained to generate image…
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How to test my own pictures？
it looks like some errors when I test SIDD
python test_real_denoising_sidd.py --save_images
===>T…
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Hi, thank you for making this great work!
I'd like to know
If the denoising methods' evaluation method uses the model trained with denoised IMAGESET2 (not with IMAGESET1), is the performance still…
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Using TensorFlow backend.
Traceback (most recent call last):
File "C:/Users/basant/PycharmProjects/CNN-Image-Denoising/CNN_Image_Denoising.py", line 36, in
grayscale_resize_images(path_train…
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First, thanks for the contributions!
I was wondering how to denoise images with specific noise, like gaussian/poisson/speckle ?
In #55 About denoising, I used the code :
`python main.py --ni --…
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Hello,I understand that the first stage involves generating data using a denoising model, which results in data lacking medical details. However, if I have a set of corresponding clearer images for th…
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https://github.com/lucidrains/denoising-diffusion-pytorch/blob/de378158e5e1a3fbe5a45b0da09f8644e3f1c719/denoising_diffusion_pytorch/denoising_diffusion_pytorch.py#L457
Hello,
Do you think it is …
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Hello,
I'm currently trying to create image previews with SDXL. This works! However, the image output are very noisy. A very long time ago I found a solution to this for sd1.5 but unfortunately it …
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Hello,
I have a custom datasets of jpgs of a small size (38x47 to be precise).
Is it possible to adjust the network to infer the edges for these images?
If I run without any modifications …
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My job is to have different levels of noise images, but when I tried to use your method, I encountered two problems
1. When I used FFT according to Eq. 4 in the paper, the image could not be correctl…