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New InterPet4D Dataset and Framework Advance Human-Pet Motion Generation

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced InterPet4D, a novel multimodal dataset designed to advance the study of human-pet interaction, particularly in motion generation. This dataset comprises 6.8 million frames of synchronized multi-view and egocentric videos, along with detailed annotations for both humans and dogs, including keypoints, meshes, and audio. The accompanying InterPetMoGen framework, built using sequence-to-sequence learning and a Diffusion Transformer, demonstrates superior performance in generating realistic human-pet interactions, achieving an FID score of 11.21. AI

IMPACT This dataset and framework could enable more realistic AI-driven simulations and applications involving human-animal interactions.

RANK_REASON The cluster describes a new dataset and framework for human-pet interaction motion generation, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Hugging Face Daily Papers →

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

New InterPet4D Dataset and Framework Advance Human-Pet Motion Generation

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The cluster describes a new dataset and framework for human-pet interaction motion generation, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

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

    InterPet4D: A Multimodal 4D Human-Pet Interaction Dataset for Pet Motion Generation

    Human-pet interaction estimation and generation remain underexplored due to the absence of a high-quality large-scale dataset. We present InterPet4D, the first multimodal dataset capturing natural interactions between humans and dogs. Using a synchronized multi-view capture syste…

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