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NVIDIA's AI can create realistic images from text input using powerful GAN-based techniques and proper latent-space exploration, allowing for smooth morphing animation between fonts and real-time image and video synthesis.

  • 🤖
    00:00
    NVIDIA has developed a new AI that can generate images from text input.
  • 📝
    00:28
    The new paper called StyleGAN-T is a GAN-based technique that is excellent at latent-space interpolation.
  • 🚀
    01:17
    A new technique allows for proper latent-space exploration for text to image by creating interesting 2D spaces and exploring nearby points to get a smooth morphing animation between fonts.
  • 🚀
    02:11
    Stable Diffusion technique produces jumpy results while the new technique provides more continuous results and allows for exploration of latent spaces.
  • 👨‍🏫
    02:47
    The speaker discusses the ability to use interpolation to create images based on prompts, allowing for the selection of an adorable corgi before it morphs into a cat.
  • 🔍
    03:21
    Latent-space exploration is a key feature and it is fast.
  • 🤖
    03:57
    Real-time AI image and video synthesis is now possible with animations being made in 0.1 seconds per image, but there are still some limitations.
  • 📝
    04:40
    There is no perfect text to image AI technique yet, but new papers are constantly improving the existing ones.
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