Dual Protection Program for Identity Preservation
SynthLight ensures consistent character features before and after processing through two core technologies:
- Multi-task training mechanism::
- Synchronized analysis of 50+ facial feature points
- Learn to maintain key features such as brow-eye spacing through comparison
- Special enhancement for Asian portraits
- Detail-preserving sampling techniques::
- Diffusion sampling procedure using no classifier guidance
- Prioritize protection of high information content areas such as facial lines
- Adjustable detail retention intensity (recommended setting 70-80%)
The measured data shows that the method achieves 98.3% identity feature matching in the LFW dataset test. For important ID photo processing, it is recommended:
- Check the "Enhance Details" box during preprocessing.
- Avoid extreme light parameters (e.g., intensity > 85%)
- Localized masking protection if necessary
This answer comes from the articleSynthLight: natural light rendering of portrait images (unreleased)The
May not be reproduced without permission:AI productivity tools " How to improve identity retention in portraits after heavy lighting treatment?
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