alexandrosgk / sparse_coding_deep_equilibrium

Code related to the paper "Connections between Deep Equilibrium and Sparse Representation Models with Application to Hyperspectral Image Denoising"
2 stars 1 forks source link

No Code #2

Open MatthewQi2002 opened 1 year ago

MatthewQi2002 commented 1 year ago

Dear, I have read your paper, but I cannot find the code here. Is there any way to get the code?

alexandrosgk commented 11 months ago

Yes, in the following month we are planning to release our source code. The release has been delayed partly due to a heavy workload and numerous deadlines in our current projects.

MatthewQi2002 commented 11 months ago

Yes, in the following month we are planning to release our source code. The release has been delayed partly due to a heavy workload and numerous deadlines in our current projects.

Thanks. Looking forward to your code!

junhanchen912 commented 10 months ago

Dear Dr. Alexandros Recently, I read your article "Connections Between Deep Equilibrium and Sparse Representation Models With Application to Hyperspectral Image Denoising", and I was very interested in the deep equilibrium sparse coding method you mentioned, which greatly improved the interpretibility of deep neural networks in the field of image denoising, and reduced the computational complexity of the depth expansion of sparse coding by using the deep equilibrium model. I benefited a lot from your article. In the article, I saw that you disclosed your deep equilibrium sparse coding model on github, but when I read your article, you have deleted the model code, I don't know what the reason is, but from my personal point of view, your article has inspired me a lot, I wonder if you can share the model code for me to further learn the model. I'm sorry for being so presumptuous.I wish you a smooth scientific research and a happy life.

ChentongWang commented 1 month ago

Dear Dr.Gkillas, I am writing to inquire if you would be willing to share the source code of your work for my reference. Access to your code would greatly assist me in furthering my understanding of the study. Thank you for your consideration. I wish you continued success in your research endeavors.