• Login
    View Item 
    •   YODA Home
    • CSEM Archive
    • Research Publications
    • View Item
    •   YODA Home
    • CSEM Archive
    • Research Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Image Synthesis Applications

    Thumbnail
    View/Open
    Poster (1.287Mb)
    Author
    Ntavelis, Evangelos; Shahbazi, Mohamad; Luongo, Francesca; Kastanis, Iason; Timofte, Radu; Danelljan, Martin; Van Gool, Luc
    Metadata
    Show full item record
    Abstract
    Positional encodings have enabled recent works to train a single adversarial network that can generate images of different scales. However, these approaches are either limited to a set of discrete scales or struggle to maintain good perceptual quality at the scales for which the model is not trained explicitly. We propose the design of scale-consistent positional encodings invariant to our generator's layers transformations. This enables the generation of arbitrary-scale images even at scales unseen during training. Moreover, we incorporate novel inter-scale augmentations into our pipeline and partial generation training to facilitate the synthesis of consistent images at arbitrary scales. Lastly, we show competitive results for a continuum of scales on various commonly used datasets for image synthesis
    Publication Reference
    Ntavelis et al, Image Synthesis Applications, DataDays 2022, Zurich
    Year
    2022-05-12
    URI
    https://yoda.csem.ch/handle/20.500.12839/1014
    Collections
    • Research Publications

    Browse

    All of YODACommunities & CollectionsBy Issue DateAuthorsTitlesResearch AreasBusiness UnitsThis CollectionBy Issue DateAuthorsTitlesResearch AreasBusiness Units

    My Account

    Login

    DSpace software copyright © 2002-2023  DuraSpace
    Contact Us | Send Feedback
    DSpace Express is a service operated by 
    Atmire NV