search

zejinwang / Blind2Unblind

This is an official implementation of the CVPR2022 paper "Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots".
https://arxiv.org/abs/2203.06967
118 stars 13 forks source link

I have some questions. #21

Open jh79783 opened 1 year ago

jh79783 commented 1 year ago

I'm trying to use it according to my environment. I have a few questions in the process.

  1. Can i replace Upsample layer instead of up function in class Up of arch_unet.py
  2. I use all the memory of gpu during the validation phase during training. Is this normal?
  3. When I test, can I expect normal performance even if I use it without adding noise?
  4. Does the score calculation process take up most of the time during validation?
  5. Why do you do repeated tasks in validation? Can you explain it? -> It's mean 'valid_repeat_times'

I am looking forward to your reply.