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    OREN: An octree residual network for real-time Euclidean signed distance mapping

    The original post describes OREN as a hybrid signed distance field (SDF) reconstruction framework.

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    2 Sources, 4h ago, first seen 4h ago

    TLDR

    A repost of @rsasaki0109 describes OREN, short for Octree Residual Network, as a hybrid SDF reconstruction framework for real-time Euclidean signed distance mapping.

    Combined views

    6.1K

    2 Sources, first seen 4h ago

    115 likes

    Combined views

    6.1K

    2 Sources, first seen 4h ago

    115 likes
    1 comments
    96 saves
    13 reposts

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    1 comments
    96 saves
    13 reposts

    Sentiment

    Positive——Negative

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    Not enough discussion yet.

    No sentiment analysis available yet.

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    2 Sources

    @rsasaki0109OREN: Octree Residual Network for Real-Time Euclidean Signed Distance Mapping OREN is a hybrid SDF reconstruction framework that combines gradient-augmented octree interpolation with an implicit neural residual to achieve efficient, continuous, non-truncated, and highly accurate Euclidean SDF mapping.
    @yacineMTBRT @rsasaki0109: OREN: Octree Residual Network for Real-Time Euclidean Signed Distance Mapping OREN is a hybrid SDF reconstruction framewo…

    2 Sources

    @rsasaki0109OREN: Octree Residual Network for Real-Time Euclidean Signed Distance Mapping OREN is a hybrid SDF reconstruction framework that combines gradient-augmented octree interpolation with an implicit neural residual to achieve efficient, continuous, non-truncated, and highly accurate Euclidean SDF mapping.
    @yacineMTBRT @rsasaki0109: OREN: Octree Residual Network for Real-Time Euclidean Signed Distance Mapping OREN is a hybrid SDF reconstruction framewo…