Skip to content

Is this repository the final version used to produce the CVPR results? #5

@Becomeyourself

Description

@Becomeyourself

Hi, thanks for releasing your code and great work.

I am trying to reproduce your CVPR paper, and I found a few issues that I hope you could help clarify:

1. Multi-weather (rain/snow/fog) joint training

The paper mentions joint training on three weather types, but the released training script mainly uses get_training_set_derain(...). I do not see a unified loader that mixes derain, dehaze, and desnow data together, nor the procedure for generating the 3-type classification label.

Question: Is there another training script or configuration that supports true multi-weather joint training as used in the paper?


2. Testing and evaluation scripts

There seem to be several inconsistencies:

  • The model forward arguments differ between training and testing (the alpha argument is missing in test).
  • num_queries is 48 during training but becomes 48 * nFrames in testing, which changes the model architecture.
  • The PSNR/SSIM script matches GT and predicted frames using hard-coded indexing (i/5, i%5), and the Y-channel conversion formula appears unusual.

Question: Could you confirm the correct testing/evaluation procedure that matches the paper’s results?


3. Is this repo the final version used for CVPR?

Because of the mismatches above, I am unsure if this GitHub code is the exact version used for the paper.

Question: Is this repository the final version used to produce the CVPR results?
If not, is it possible to share the final scripts or the correct configuration?


Thanks a lot for your time and for sharing the code.

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions