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The more smile, the more black #38

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tengshaofeng opened this issue Jul 6, 2022 · 5 comments
Open

The more smile, the more black #38

tengshaofeng opened this issue Jul 6, 2022 · 5 comments

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@tengshaofeng
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tbq_0a186d611d3e2493bfb35ec396390806_age
tbq_1803151818-00006002_org_smile
thanks for your great work. Did you find the phenomenon above?

@danielroich
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Thanks!

Yes, I have, I think it is connected to the fact that the above image is more "out of domain" compared to the second image.
I found you need to add more "power" to the editing directions in order to edit OOD images.

This is also a finding from earlier papers, you can see it in our quantitative analysis.

PTI mitigates this pheromone but does not solve it completely

hope this helps

@tengshaofeng
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@danielroich thanks for your reply patiently. Did you means that I should collect more images which covers the OOD images, and
learn the new directions on the images?

@danielroich
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Something like that, use the same edit directions, but add more "power" to the tuning be feeding it with few-shot fine-tuning instead of one-shot as the classic PTI does

@tengshaofeng
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So when fine-tuning, should I fixed some layers?

@danielroich
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No
Add more images
Try using the multi_id_coach on several images of the same person

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