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HumanSkill-4D enables language-based querying of animatable Gaussian avatars

By PulseAugur Editorial · [2 sources] ·

Researchers have introduced HumanSkill-4D, a novel framework designed for the training-free querying of animatable Gaussian avatars using natural language. This system allows users to select specific regions of an avatar, such as body parts or clothing, and identify corresponding motion intervals based on descriptive language prompts. HumanSkill-4D addresses challenges like region ambiguity and motion similarity by employing a shared multimodal large language model and geometric operators, enabling traceable selections and new motion condition support. AI

IMPACT Enables more intuitive and precise interaction with 3D avatars for editing and analysis.

RANK_REASON The cluster describes a new research paper detailing a novel framework for interacting with 3D avatars.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

HumanSkill-4D enables language-based querying of animatable Gaussian avatars

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The cluster describes a new research paper detailing a novel framework for interacting with 3D avatars.
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17 days old
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Junsu Kim, Naeun Kim, Dongyoon Han, Seungryul Baek ·

    HumanSkill-4D: Training-Free Language Querying of Animatable Gaussian Avatars in Space and Time

    arXiv:2610.24452v2 Announce Type: replace-cross Abstract: We introduce avatar referring segmentation, which selects regions of animatable Gaussian avatars from language queries. A query can also specify a pose or motion to select matching intervals. This lets users interact with …

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    HumanSkill-4D: Training-Free Language Querying of Animatable Gaussian Avatars in Space and Time

    HumanSkill-4D enables language-driven selection of avatar regions and motion intervals via shared multimodal reasoning and geometric operators without training.

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