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    BVB: a video-understanding benchmark built around Blender reconstruction

    The BVB announcement lists 288 real videos and 51 agent configurations, asking whether an AI agent that understands a video can reconstruct it.

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    1 Source, 16d ago, first seen 16d ago

    TLDR

    BVB’s announcement frames video reconstruction as a test of an AI agent’s understanding. It introduces a benchmark based on reconstructing videos programmatically in Blender, with 288 real videos and 51 agent configurations. The announcement also links to a paper, demos, a leaderboard and code.

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    12.2K

    1 Source, first seen 16d ago

    Combined views

    12.2K

    1 Source, first seen 16d ago

    121 likes
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    5 comments
    70 saves
    20 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    1 Source

    @yoloytangIf an agent truly understands a video, can it reconstruct it? Introducing BVB: benchmarking agentic video understanding via programmatic reconstruction in Blender. 288 real videos. 51 agent configurations. Paper, demos & leaderboard: https://yoloytang.me/BVB/ Code: https://github.com/yunlong10/BVB Paper: https://arxiv.org/abs/2609.15478

    1 Source

    @yoloytangIf an agent truly understands a video, can it reconstruct it? Introducing BVB: benchmarking agentic video understanding via programmatic reconstruction in Blender. 288 real videos. 51 agent configurations. Paper, demos & leaderboard: https://yoloytang.me/BVB/ Code: https://github.com/yunlong10/BVB Paper: https://arxiv.org/abs/2609.15478