Technology to achieve in-depth
The platform's portrait engine utilizes a three-stage processing architecture: first facial feature point detection via 3DMM models, then attribute editing using StyleGAN2, and finally picture quality enhancement with GPEN. Its photo ID generator integrates a light estimation algorithm that automatically adjusts light and shadow to meet ICAO standards. The hairstyle changer, on the other hand, builds a database containing 287 hairstyles to realize the visual effect of a natural transition of the hairline.
Social Application Scenarios
Data shows: the sharing rate of social posts using AI baby filters is 4 times higher than that of ordinary selfies, making it a powerful tool to increase the number of fans in parent-child accounts. LinkedIn avatars made by working professionals through photo ID generators have increased profile integrity scores by an average of 28 points (in percent). These tools are reshaping the paradigm of identity expression in the digital age, generating more than 2 billion AI portrait processing behaviors in 2023 alone.
Privacy protection mechanism
The platform adopts edge computing architecture, sensitive data is uploaded with encrypted parameters only after feature extraction is completed on local devices, and the original images are destroyed when they stay on the server for no more than 300ms. Strict GDPR compliance process ensures that user biometric data is not abused, and all AI models are trained on desensitized datasets.
This answer comes from the articleImgEditor: AI tool for image editing and generationThe
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