Comments (3)
@bmc84 Thanks for your feedback!
Jittering of the face is a challenge we are working on. Longer training may partially solve this task.
Two copies of the eyebrows may appear when the eyebrows in the original video are raised too high. This issue can be solved at the stage of blending output of the model back into the original video by expanding the face mask (check masks.py).
Speaking about swapping face attributes such as mouth and eyes, the priority task is to make them visually more like source photo attributes, thus they may be less similar to original video.
Can you please share the source photo and video so we can analyze your example in more detail.
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Hi @AlexanderGroshev , firstly, thanks for the amazing work!
Could you elaborate a little more on the eyebrow part? I read issue #22 but didn't get significant improvement in 2 copies of eyebrows showing at the same time issue. I am wondering if I did something wrong or if it just doesn't resolve the issue. Could you give some specifics about the values we could give to eyebrows_expand_mod & erode_and_blur variables and how they should affect the result? Thanks in advance
from ghost.
Hey! thank you for sharing your work.
Are you planning to solve face jitter issue?
from ghost.
Related Issues (20)
- Help
- Серые лица HOT 2
- Colab no longer working HOT 5
- ModuleNotFoundError: No module named 'mxnet' HOT 2
- No module named 'insightface' HOT 1
- errors occure when the input video contains some no-face fragments
- google cloud is closed HOT 1
- Google Cloud is unavailable and banned! ! HOT 3
- Where
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- TypeError: RetinaFace.detect() got an unexpected keyword argument 'threshold'
- Output is black blob on face of target image -- tips for debug?
- Suspicious/malicious file with binary incoded as base64 ofuscating as png image HOT 1
- Error when loading "Preparation" section HOT 1
- colab error OSError: libcudart.so.11.0: cannot open shared object file: No such file or directory HOT 1
- what is a model license? HOT 3
- Inconsistent requirements HOT 1
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- How to Only Save the Best Model During Training
- Requirements.txt
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