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I wanted to bring up an issue regarding the pretrained model in the repository. According to Table 6 in the paper, the TED+CURL model achieved a PSNR of 24.04 on the MIT5K DPE dataset. However, the pretrained model available in the repository is named "...testpsnr_23.584083321292365...pt," indicating a PSNR of 23.58. Additionally, when I performed an evaluation on the same dataset, I obtained a slightly different result, with a test PSNR of 23.62.
I'm curious about the significant gap between the pretrained model and the results presented in the paper. Is there a specific reason for this discrepancy, or could there be something I might be doing incorrectly during the evaluation process?
Once again, thank you for your project. Your insights would be greatly appreciated.
The text was updated successfully, but these errors were encountered:
Hello @sjmoran,
Thanks for your great work!
I wanted to bring up an issue regarding the pretrained model in the repository. According to Table 6 in the paper, the TED+CURL model achieved a PSNR of 24.04 on the MIT5K DPE dataset. However, the pretrained model available in the repository is named "...testpsnr_23.584083321292365...pt," indicating a PSNR of 23.58. Additionally, when I performed an evaluation on the same dataset, I obtained a slightly different result, with a test PSNR of 23.62.
I'm curious about the significant gap between the pretrained model and the results presented in the paper. Is there a specific reason for this discrepancy, or could there be something I might be doing incorrectly during the evaluation process?
Once again, thank you for your project. Your insights would be greatly appreciated.
The text was updated successfully, but these errors were encountered: