Hi,
Thank you for sharing your work on CAP-IQA. The context-aware prompting approach and performance gains on LDCTIQA are very impressive!
I'm working on a related problem in reference-free LDCT IQA and would like to include a proper comparison with your method. To facilitate reproducibility and fair benchmarking, I attempted to reproduce your results using this repository.
I noticed that while the model definitions and inference scripts are available, the following components appear to be missing:
- Training code/scripts
- Pretrained model checkpoints
Would you be able to release these components? Having access to the training scripts and pretrained weights would be invaluable for conducting a thorough and fair comparison between our approaches.
If you have a timeline for when these might be available, that would be very helpful.
Thank you for your time and consideration!
Best regards,
Tolga
Hi,
Thank you for sharing your work on CAP-IQA. The context-aware prompting approach and performance gains on LDCTIQA are very impressive!
I'm working on a related problem in reference-free LDCT IQA and would like to include a proper comparison with your method. To facilitate reproducibility and fair benchmarking, I attempted to reproduce your results using this repository.
I noticed that while the model definitions and inference scripts are available, the following components appear to be missing:
Would you be able to release these components? Having access to the training scripts and pretrained weights would be invaluable for conducting a thorough and fair comparison between our approaches.
If you have a timeline for when these might be available, that would be very helpful.
Thank you for your time and consideration!
Best regards,
Tolga