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    Generative models· 2017

    Progressive Growing of GANs for Improved Quality, Stability, and Variation

    Tero Karras (first author) · 2017 · published 2018

    Read the original

    arXiv 1710.10196OpenAlex W2766527293

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    Why it matters

    Enabled stable, high-resolution GAN synthesis through progressive network growth.

    Condensed from the expert lists' notes.

    The record

    First released
    2017 (from arXiv 1710.10196)
    Published
    2018
    Citations
    8,843 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Named by
    both expert lists
    Score
    0.461 · computed rank 276 · consensus 0.56, must-read 0.5, citations percentile 0.694 (2010s · generative-models), awards 0, existing lists 0. Method

    Data sources

    Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.