Face Swap Group Photos: Target Selection and Cropping
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Group photos are among the hardest inputs for an AI face swap. The problem is not simply that there are more faces. Each face can have a different size, angle, expression, lighting condition, and level of obstruction. The model also has to decide which detected face or faces should receive the reference identity. In the current faceswap workflow, you upload a target image and use either the built-in face reference or a permitted custom reference. There is no precise face-number selector. If…
1Key Takeaways
- Group photos are among the hardest inputs for an AI face swap.
- The problem is not simply that there are more faces.
- Each face can have a different size, angle, expression, lighting condition, and level of obstruction.
- The model also has to decide which detected face or faces should receive the reference identity.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that group photos are among the hardest inputs for an AI face swap.
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