Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Question for Cyclic Burst Sampling in NRFE. #6

Open
cvkaiming opened this issue Jul 20, 2023 · 2 comments
Open

Question for Cyclic Burst Sampling in NRFE. #6

cvkaiming opened this issue Jul 20, 2023 · 2 comments

Comments

@cvkaiming
Copy link

I saw the Cyclic Burst Sampling module in your article, and I think this module is very cleverly designed, but I can't find the definition of the code for this module in your code, can I ask you where this code is? There is one more question, the weights in the trace 1 part you gave me don't seem to match the model, is the weight file uploaded wrongly?
image
thank you

@shekshaa
Copy link

Here is the answer to your first question: there is a class called no_ref_back_projection in Burst De-noising/Network.py that performs the cyclic burst sampling in the forward pass. It uses torch.roll to shift the burst and then reshape both the original and shifted versions to couple the frames and finally concatenate the results.

@cvkaiming
Copy link
Author

cvkaiming commented Jul 21, 2023 via email

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants