Faceswap Forum

I've been trying faceswap for a while, however I haven't got an satisfying swap yet. I was wondering if the problem is on my training sources. I know that different angles and light conditions can improve the result, however I only have limited sources.
My data is like extracting 30sec videos from about 4 or 5 different sources to get nearly 3000 faces each; however there are still hundreds of similar faces in each 30sec videos, I was wondering if this is the problem that too many similar faces causes the low efficiency of training.
If I can get the same angles in 5sec as in 30sec videos, do they get similar results?(Although if choosing 5 sec, I will only have under 1000 faces training) Or which may be better?
Thank you!

I don't recommend extracting from extremely short videos. I usually prefer setting a high een (extract every number) and feeding a full movie or other long content. That gives me large variety of data with minimal overlap.

Look at this. should shed some light on your question.

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