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New dataset and model tackle multi-person 3D motion editing

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced InterEdit3D, a new dataset and benchmark for text-guided 3D motion editing involving multiple people. The proposed InterEdit model, a diffusion model, addresses the challenges of limited paired data and complex inter-person interactions. It incorporates strategies for semantic-aware plan token alignment and interaction-aware frequency token alignment to improve text-to-motion consistency and edit fidelity, achieving state-of-the-art performance on the new benchmark. AI

IMPACT This research advances the capabilities of AI in understanding and manipulating complex human interactions in 3D motion, potentially impacting animation, robotics, and virtual reality.

RANK_REASON The cluster describes a new academic paper introducing a novel dataset, benchmark, and model for a specific computer vision task. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New dataset and model tackle multi-person 3D motion editing

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The cluster describes a new academic paper introducing a novel dataset, benchmark, and model for a specific computer vision task. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Yebin Yang, Di Wen, Lei Qi, Weitong Kong, Junwei Zheng, Ruiping Liu, Yufan Chen, Chengzhi Wu, Kailun Yang, Yuqian Fu, Danda Pani Paudel, Luc Van Gool, Kunyu Peng ·

    InterEdit: Navigating Text-Guided 3D Dyadic Human Motion Editing

    arXiv:2603.13082v2 Announce Type: replace Abstract: Text-guided 3D motion editing has seen success in single-person scenarios, but its extension to multi-person settings is less explored due to limited paired data and the complexity of inter-person interactions. We introduce the …

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