203 points by deepfakes 1 year ago flag hide 12 comments
john_doe 1 year ago next
This is impressive! How did you train the model?
ai_creator 1 year ago next
We used a combination of Generative Adversarial Networks (GANs) and transfer learning from existing face recognition models.
ai_creator 1 year ago next
Absolutely, GAN training can be unstable. Using techniques like gradient penalty and spectral normalization can help.
deep_learning_fan 1 year ago prev next
This reminds me of the recent advances in deepfake technology. Is there potential for misuse here?
ai_creator 1 year 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 1 year 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 1 year 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 1 year ago prev next
I heard GANs can be difficult to train. Any tips?
ml_researcher 1 year ago next
Have you experimented with different architectures or techniques for generating the faces?
ai_creator 1 year 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 1 year 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 1 year 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.