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    Computer vision & multimodal· 2020

    NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

    Ben Mildenhall (first author) · 2020

    Read the original

    arXiv 2003.08934OpenAlex W3109585842

    On the reading lists

    Why it matters

    Established neural radiance fields, transforming novel-view synthesis and 3D scene representation.

    Condensed from the expert lists' notes.

    The record

    First released
    2020 (from arXiv 2003.08934)
    Citations
    6,259 citations, as counted by Semantic Scholar logoSemantic Scholar (non-commercial licence)
    Named by
    both expert lists
    Score
    0.563 · computed rank 176 · consensus 0.78, must-read 1, citations percentile 0.654 (2020s · vision), awards 0, existing lists 0. Method

    Editor's notes

    • Readability check: pass: A clear, elegant idea for 3D scenes. (AI draft (Claude), not yet reviewed, 2026-10-29)

    Data sources

    Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0), and Semantic Scholar logoSemantic Scholar (used under its non-commercial API licence). Each count names its source. See the method.