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    Generative models· 2018

    Large Scale GAN Training for High Fidelity Natural Image Synthesis

    Andrew Brock (first author) · 2018 · published 2019

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    arXiv 1809.11096OpenAlex W2893749619

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    Why it matters

    Demonstrated GAN scaling on ImageNet and introduced influential fidelity-diversity controls.

    Condensed from the expert lists' notes.

    The record

    First released
    2018 (from arXiv 1809.11096)
    Published
    2019
    Citations
    6,324 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Named by
    both expert lists
    Score
    0.365 · computed rank 439 · consensus 0.37, must-read 0.5, citations percentile 0.583 (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.