• Login
    View Item 
    •   SMARTech Home
    • Georgia Tech Interdisciplinary Research Centers (IRCs)
    • Machine Learning (ML@GT)
    • Machine Learning@Georgia Tech Seminars
    • View Item
    •   SMARTech Home
    • Georgia Tech Interdisciplinary Research Centers (IRCs)
    • Machine Learning (ML@GT)
    • Machine Learning@Georgia Tech Seminars
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Interpretable latent space and inverse problem in deep generative models

    Thumbnail
    View/Open
    zhou.mp4 (252.2Mb)
    zhou_videostream.html (1.323Kb)
    transcript.txt (42.78Kb)
    thumbnail.jpg (70.30Kb)
    Date
    2021-01-27
    Author
    Zhou, Bolei
    Metadata
    Show full item record
    Abstract
    Recent progress in deep generative models such as Generative Adversarial Networks (GANs) has enabled synthesizing photo-realistic images, such as faces and scenes. However, it remains much less explored on what has been learned in the deep generative representation and why diverse realistic images can be synthesized. In this talk, I will present our recent series work from GenForce (https://genforce.github.io/) on interpreting and utilizing latent space of the GANs. Identifying these semantics not only allows us to better understand the inner working of the deep generative models but also facilitates versatile image editings. I will also briefly talk about the inverse problem (how to invert a given image into the latent code) and the fairness of the generative model.
    URI
    http://hdl.handle.net/1853/64261
    Collections
    • Machine Learning@Georgia Tech Seminars [52]

    Browse

    All of SMARTechCommunities & CollectionsDatesAuthorsTitlesSubjectsTypesThis CollectionDatesAuthorsTitlesSubjectsTypes

    My SMARTech

    Login

    Statistics

    View Usage StatisticsView Google Analytics Statistics
    facebook instagram twitter youtube
    • My Account
    • Contact us
    • Directory
    • Campus Map
    • Support/Give
    • Library Accessibility
      • About SMARTech
      • SMARTech Terms of Use
    Georgia Tech Library266 4th Street NW, Atlanta, GA 30332
    404.894.4500
    • Emergency Information
    • Legal and Privacy Information
    • Human Trafficking Notice
    • Accessibility
    • Accountability
    • Accreditation
    • Employment
    © 2020 Georgia Institute of Technology