Sample noise flow add to SIDD raw image problem using the pre-train model provided

[circlehy]

Sample noise flow added to SIDD clean image in raw format, then transfer to RGB format. The added noise seems 'larger' than expected since the parameters were known. I am not sure how to solve the problem.
cam: 0, iso: 100
clean

noisy

[jmu201521121021]

@circlehyhello, how do you transfer Raw format to RGB format?

[circlehy]

@circlehyhello, how do you transfer Raw format to RGB format?

They provided the transfer code on the SIDD website.

[jmu201521121021]

@circlehy thank you!

[jmu201521121021]

@circlehy "The added noise seems 'larger' than expected since the parameters were known",I also encountered this problem, do you solve the problem?

[Fanbenchao]

I also encountered this problem. I'll appreciate it that the authors could answer our questions.
cam: GP
iso: 3200
clean:

noise:

generate:

[circlehy]

@circlehy "The added noise seems 'larger' than expected since the parameters were known",I also encountered this problem, do you solve the problem?

No, the released model seems not work.

[AbdoKamel]

Hi,

There was a bug in the sampling code, it was not using the trained batch norm layers, this is fixed now. Also, I have added code for rendering the sampled noisy images into sRGB.

[JimmyChame]

Hi, I still find some problems in the sampling code. I just use the pre-train model provided to generate some samples. The added noise seems different than expected: (The left is clean image, the center is original noisy image and the right is the generated noisy image)

Then I use the generated noisy images to finetune a denoising model pre-trained on SIDD dataset, the PSNR on SIDD validation dataset is decreasing significantly (from 39 down to 37). I am not sure if there are still bugs in the code.

[SSRheart]

Hi, I still find some problems in the sampling code. I just use the pre-train model provided to generate some samples. The added noise seems different than expected: (The left is clean image, the center is original noisy image and the right is the generated noisy image)

Then I use the generated noisy images to finetune a denoising model pre-trained on SIDD dataset, the PSNR on SIDD validation dataset is decreasing significantly (from 39 down to 37). I am not sure if there are still bugs in the code.

Hi, have you solved this problem？ The same results appear on my trained model.

[Vandermode]

Any update on this problem?
Actually, I find the provided pretrained model is a simplified version of the one described on the paper, since the width parameter is set to 4 instead of 32 mentioned by authors

[ymcasky]

The same problem when run sample_noise_flow.py with "patch_size" set to 480.
Have you solved this problem?

[AbdoKamel]

Please check out this potential fix:
f9e2d29