💡[Feature]: Frontal Face Generating Model

[ShreyasSN]

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Feature Description

Uses pixel2style2pixel (pSp), a GAN-based framework, to generate frontal face views from angled images. By encoding faces into the StyleGAN latent space, pSp creates realistic frontal representations, enhancing face recognition accuracy across diverse perspectives.

Use Case

Generating realistic frontal views from angled images improves face recognition accuracy for security surveillance and remote identity verification.

Benefits

• Increased Accuracy: Frontal face views from angled images enhance recognition reliability across diverse perspectives, improving security and verification outcomes.

• Broader Usability: Enables effective face recognition in various real-world scenarios, including surveillance, ID verification, and remote authentication.

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Priority

High

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[github-actions]

Thank you for creating this issue! 🎉 We'll look into it as soon as possible. In the meantime, please make sure to provide all the necessary details and context. If you have any questions reach out to LinkedIn. Your contributions are highly appreciated! 😊

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[ShreyasSN]

@sanjay-kv Please assign necessary labels

[github-actions]

Hello @ShreyasSN! Your issue #1583 has been closed. Thank you for your contribution!