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Hi, I adopt your MFN (GaborNet) in my coordinate-mlp repo, and conducted the generalization experiment on Natural dataset, and found that it produces a lot better than what is reported in the paper. More precisely, I got 28.75 mean PSNR whereas you got only 26.18. Do you have the detailed training parameters or the training logs (preferably per-scene)? I have mine and am happy to share with you (I will upload to my repo), I wonder what makes the difference.
My worst generalization is for this image (right is network prediction):
But even for this it has 23.24 PSNR.
The text was updated successfully, but these errors were encountered:
Hi, I adopt your MFN (GaborNet) in my coordinate-mlp repo, and conducted the generalization experiment on Natural dataset, and found that it produces a lot better than what is reported in the paper. More precisely, I got
28.75
mean PSNR whereas you got only26.18
. Do you have the detailed training parameters or the training logs (preferably per-scene)? I have mine and am happy to share with you (I will upload to my repo), I wonder what makes the difference.My worst generalization is for this image (right is network prediction):
But even for this it has
23.24
PSNR.The text was updated successfully, but these errors were encountered: