Browsing by Subject "GANs"

Now showing items 1-2 of 2

    • Deep Generative Models: Pitfalls and Fixes 
      Armandpour, Mohammadreza (2022-04-11)
      The promise of deep learning is to discover rich, hierarchical models that represent probability distributions over the kinds of data encountered in artificial intelligence applications, such as natural images, audio ...
    • Ethics of a New Frontier: Understanding the Link Between Knowledge and Opinions of AI Art 
      Mitrani, Ariela; Gu, Guofei (2024-01-02)
      The rise in popularity of AI-generated images has brought up concerns regarding the ethics of training AI using artists’ work without compensation. Because this is a relatively new phenomenon in the public eye, we have ...