It is useful for small, blurry, undetectable faces, animal faces.
https://i.imgur.com/8kmVgg8.jpg
Warning: such frames must be used only with XSeg workflow !
Landmarks cannot be placed on the face precisely, and they are actually used for positioning the red frame.
Try to keep the red frame the same as the adjacent frames.
Now you can replace the head.
Example: https://www.youtube.com/watch?v=xr5FHd0AdlQ
Requirements:
Post processing skill in Adobe After Effects or Davinci Resolve.
Usage:
1) Find suitable dst footage with the monotonous background behind head
2) Use “extract head” script
3) Gather rich src headset from only one scene (same color and haircut)
4) Mask whole head for src and dst using XSeg editor
5) Train XSeg
6) Apply trained XSeg mask for src and dst headsets
7) Train SAEHD using ‘head’ face_type as regular deepfake model with DF archi. You can use pretrained model for head. Minimum recommended resolution for head is 224.
8) Extract multiple tracks, using Merger:
a. Raw-rgb
b. XSeg-prd mask
c. XSeg-dst mask
9) Using AAE or DavinciResolve, do:
a. Hide source head using XSeg-prd mask: content-aware-fill, clone-stamp, background retraction, or other technique
b. Overlay new head using XSeg-dst mask
Warning: Head faceset can be used for whole_face or less types of training only with XSeg masking.
XSegEditor: added button ‘view trained XSeg mask’, so you can see which frames should be masked to improve mask quality.
New help messages for these options:
Face style power
Learn the color of the predicted face to be the same as dst inside mask.
If you want to use this option with 'whole_face' you have to use XSeg trained mask.
Warning: Enable it only after 10k iters, when predicted face is clear enough to start learn style.
Start from 0.001 value and check history changes.
Enabling this option increases the chance of model collapse
Background style power
Learn the area outside mask of the predicted face to be the same as dst.
If you want to use this option with 'whole_face' you have to use XSeg trained mask.
This can make face more like dst.
Enabling this option increases the chance of model collapse. Typical value is 2.0
