None of These Faces Are Real! | Summary and Q&A

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January 27, 2019
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None of These Faces Are Real!

TL;DR

NVIDIA researchers have developed an impressive technique to generate high-quality images of non-existent celebrities using a progressive method, allowing for control and customization of features.

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Questions & Answers

Q: How does NVIDIA's progressive technique generate high-resolution images of imaginary celebrities?

The technique starts with a low-fidelity image and continuously refines it, resulting in high-quality, lifelike images of non-existent people. This is achieved through deep learning and true learning, rather than simply copying the training set.

Q: How does the algorithm allow for control and customization of generated images?

NVIDIA's algorithm enables users to lock in specific aspects such as gender, age, and pose from source images. It then fuses these aspects with another source image, creating high-fidelity images with desired characteristics.

Q: Can the algorithm provide fine-grained control over outputs?

Yes, users can vary parameters individually, allowing for more precise artistic control over the generated images. This feature enables the blending of hairstyles, colors, and even morphing between different genders.

Q: Is the algorithm limited to creating human faces?

No, the algorithm can also work on other datasets such as cars, bedrooms, and even cats. It can modify the background behind the characters, showcasing the versatility of latent-space based techniques.

Summary & Key Takeaways

  • NVIDIA has developed a progressive technique for generating high-resolution images of imaginary celebrities.

  • The algorithm can learn the properties and features of a human face to create truly novel individuals.

  • The new features of the algorithm include the ability to combine different aspects of images, fine-grained control over outputs, and interpolation between desired images.

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