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Uni-HOI framework unifies text, human, and object motion for 4D interaction modeling

Researchers have developed Uni-HOI, a unified framework designed to model the complex interactions between humans, objects, and text. This system integrates large language models with specialized VQ-VAEs to process diverse motion data into a format compatible with LLMs. Uni-HOI employs a two-stage training process, first learning correlations across modalities and then fine-tuning for specific tasks, demonstrating strong performance in areas like text-driven HOI generation and motion prediction. AI

影响 Enables more sophisticated virtual and mixed-reality applications by unifying text and motion data.

排序理由 Academic paper introducing a new framework for modeling human-object interactions.

在 arXiv cs.CV 阅读 →

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Uni-HOI framework unifies text, human, and object motion for 4D interaction modeling

报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Mengfei Zhang, Jinlu Zhang, Zhigang Tu ·

    Uni-HOI:A Unified framework for Learning the Joint distribution of Text and Human-Object Interaction

    arXiv:2604.27491v1 Announce Type: new Abstract: Modeling 4D human-object interaction (HOI) is a compelling challenge in computer vision and an essential technology powering virtual and mixed-reality applications. While existing works have achieved promising results on specific HO…

  2. arXiv cs.CV TIER_1 English(EN) · Zhigang Tu ·

    Uni-HOI:A Unified framework for Learning the Joint distribution of Text and Human-Object Interaction

    Modeling 4D human-object interaction (HOI) is a compelling challenge in computer vision and an essential technology powering virtual and mixed-reality applications. While existing works have achieved promising results on specific HOI tasks-such as text-conditioned HOI generation …