-
Notifications
You must be signed in to change notification settings - Fork 500
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Can be used for 3D data ? #126
Comments
That's an interesting question. We didn't verify the method for that application. For large distortions, it probably won't work well. For example, if you are just comparing shapes, something like Chamfer distance would be more standard (although may not be perceptual either) |
I see, well, one can still try testing the method on 3D-vs-2D benchmarks, if there is any correlation between LPIPS scores on 3D and 2D data then it can probably be used as metric on 2D too ! |
I'm wondering if this metric can be used to evaluate 3D volumes in a slice-wise fashion, by comparing 2D slices of the same level ! What do you think ?
The text was updated successfully, but these errors were encountered: