average error matrics in paper

[dlutzzw]

hi,thanks for your exciting work.I have two question about avg matrics.

first，I'm confused about the meaning of avg matric，will there be more advantages？

second，I find that when you compute MSE from PSNR，the implementation of the code in is different from that in the paper. so I'm a bit confunsed. Can you help me ?

[jonbarron]

The average metric is only useful if you want to look at a single number instead of 3 numbers. I found it useful when hyperparameter tuning, but you can definitely just ignore it if you are happy to look at PSNR/SSIM/LPIPS separately.

I think the paper has a bug in the math for PSNR, how embarrassing! There was also a bug in the code for computing DSSIM that I fixed in our follow-up release, where it should be sqrt((1-ssim)/2). This is our latest code release if you'd like something with more unit tests: https://github.com/google-research/multinerf/blob/main/internal/image.py

[dlutzzw]

thank you for your reply, I will be careful of these points. At 2022-09-13 01:47:21, "jonbarron" ***@***.***> wrote: The average metric is only useful if you want to look at a single number instead of 3 numbers. I found it useful when hyperparameter tuning, but you can definitely just ignore it if you are happy to look at PSNR/SSIM/LPIPS separately. I think the paper has a bug in the math for PSNR, how embarrassing! There was also a bug in the code for computing DSSIM that I fixed in our follow-up release, where it should be sqrt((1-ssim)/2). This is our latest code release if you'd like something with more unit tests: https://github.com/google-research/multinerf/blob/main/internal/image.py — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: ***@***.***>