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As title mentioned, I test straight longhair, the output always is curly hair no matter what the parameter is. Face shape and expression are also not good enough.
Input:
NPHM outputs:
Additionally, I find that NPHM cannot deal with long bangs.
Do you have some suggestions to handle this kind of situation?
I upload the test scan ply if you need it to check. scan.zip
The text was updated successfully, but these errors were encountered:
Even though i had my own flame and good point cloud, registered and transformed to be in same coordinate system as flame, the result of NPHM does not resemble identity at all. I guess network works only with trained data:
As title mentioned, I test straight longhair, the output always is curly hair no matter what the parameter is. Face shape and expression are also not good enough.
Input:
NPHM outputs:
Additionally, I find that NPHM cannot deal with long bangs.
Do you have some suggestions to handle this kind of situation?
I upload the test scan ply if you need it to check.
scan.zip
The text was updated successfully, but these errors were encountered: