Papers by Sergei Tulyakov

    1 papers
    LADIS: Language Disentanglement for 3D Shape Editing (2022.findings-emnlp)

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    Challenge: Existing methods for 3D shape editing produce decoupled, local edits to 3D shapes.
    Approach: They propose a tool set that learns latent representations that ground language in 3D geometry.
    Outcome: The proposed method outperforms existing SOTA methods by 20% in edit locality and up to 6.6% in language reference resolution accuracy.

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