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    Generative models· 2022

    Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

    Chitwan Saharia (first author) · 2022

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    arXiv 2205.11487OpenAlex W4281485151

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    Why it matters

    Demonstrated the importance of powerful language encoders for photorealistic text-to-image diffusion.

    Condensed from the expert lists' notes.

    The record

    First released
    2022 (from arXiv 2205.11487)
    Citations
    9,031 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Named by
    both expert lists
    Score
    0.458 · computed rank 281 · consensus 0.54, must-read 0, citations percentile 0.846 (2020s · 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.