Sample noise flow add to SIDD raw image problem using the pre-train model provided
circlehy opened this issue · 12 comments
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
@circlehyhello, how do you transfer Raw format to RGB format?
@circlehyhello, how do you transfer Raw format to RGB format?
They provided the transfer code on the SIDD website.
@circlehy thank you!
@circlehy "The added noise seems 'larger' than expected since the parameters were known",I also encountered this problem, do you solve the problem?
I also encountered this problem. I'll appreciate it that the authors could answer our questions.
cam: GP
iso: 3200
clean:
noise:
generate:
@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.
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.
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, 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.
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
The same problem when run sample_noise_flow.py with "patch_size" set to 480.
Have you solved this problem?