GANs for Good [My Takeaways]
Yesterday, I attended the amazing “GANs for Good” panel discussion hosted by deeplearning.ai, and here are my takeaways:
Generative adversarial networks (GANs) have been improved over the years and are starting to see adoption in the real world in domains such as health, art, and augmented reality. A conversation on progress and responsible use is needed.
Current progress and iterations of GANs show that we have gone from generating simple low-resolution images to high-resolution realistic images. However, applications beyond simple image generation are starting to surface.
One interesting application of GANs is the manufacturing of dental crowns which speeds up the whole process for the patient. A procedure that may take weeks could now be done with high precision in hours. Read this paper for more.