model performance
Bruc3Xu opened this issue · 6 comments
As shown in the figure below, it basically works even if the source and target have different poses.
The reason for incorrect samples seems to be attributed to the following factors:
- ID loss is set too large
- Target-preserving blending time is set too short.
It is recommended to lower the loss weight in the next line or decrease the time duration through masking_threshold argument.
same question, do you solve it now?
Were you able to solve it @luoxyhappy @Bruc3Xu ? The face swaps are not of good quality even after manipulating loss parameters and hyperparameters.
Were you able to solve it @luoxyhappy @Bruc3Xu ? The face swaps are not of good quality even after manipulating loss parameters and hyperparameters.
Not yet.... And i have already given up trying now.
Not yet.... And i have already given up trying now.
Same, I have been at it for a few months now. I couldn't find a way yet. @hxngiee, any help would be appreciated.