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

203 points by deepfakes 7 months ago flag hide 12 comments

john_doe 7 months ago next
This is impressive! How did you train the model?
- ai_creator 7 months ago next
  We used a combination of Generative Adversarial Networks (GANs) and transfer learning from existing face recognition models.
  ai_creator 7 months ago next
  Absolutely, GAN training can be unstable. Using techniques like gradient penalty and spectral normalization can help.
- deep_learning_fan 7 months ago prev next
  This reminds me of the recent advances in deepfake technology. Is there potential for misuse here?
  ai_creator 7 months ago 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 7 months 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 7 months ago 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 7 months ago prev next
I heard GANs can be difficult to train. Any tips?
- ml_researcher 7 months ago next
  Have you experimented with different architectures or techniques for generating the faces?
  ai_creator 7 months ago 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 7 months 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 7 months ago 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.

john_doe 7 months ago next
This is impressive! How did you train the model?
- ai_creator 7 months ago next
  We used a combination of Generative Adversarial Networks (GANs) and transfer learning from existing face recognition models.
  ai_creator 7 months ago next
  Absolutely, GAN training can be unstable. Using techniques like gradient penalty and spectral normalization can help.
- deep_learning_fan 7 months ago prev next
  This reminds me of the recent advances in deepfake technology. Is there potential for misuse here?
  ai_creator 7 months ago 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 7 months 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 7 months ago 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 7 months ago prev next
I heard GANs can be difficult to train. Any tips?
- ml_researcher 7 months ago next
  Have you experimented with different architectures or techniques for generating the faces?
  ai_creator 7 months ago 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 7 months 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 7 months ago 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.