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

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]

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• alphaXiv
• arXiv
• DagsHub
• Hugging Face
• InterEdit3D
• Kailun Yang

• paper
• product

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