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InterAct: Capture and Modelling of Realistic, Expressive and Interactive Activities between Two Persons in Daily Scenarios

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arxiv 2405.11690 v2 pith:OMWBYLXP submitted 2024-05-19 cs.CV

Yinghao Huang , Leo Ho , Dafei Qin , Mingyi Shi , Taku Komura This is my paper · ORCID
classification cs.CV
keywords personscaptureinteractinteractiveactivitiesaudiosdailydataset
verification ladder T0 review T1 audit T2 compute T3 formal
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We address the problem of accurate capture and expressive modelling of interactive behaviors happening between two persons in daily scenarios. Different from previous works which either only consider one person or focus on conversational gestures, we propose to simultaneously model the activities of two persons, and target objective-driven, dynamic, and coherent interactions which often span long duration. To this end, we capture a new dataset dubbed InterAct, which is composed of 241 motion sequences where two persons perform a realistic scenario over the whole sequence. The audios, body motions, and facial expressions of both persons are all captured in our dataset. We also demonstrate the first diffusion model based approach that directly estimates the interactive motions between two persons from their audios alone. All the data and code will be available at: https://hku-cg.github.io/interact.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. ARIG: Autoregressive Interactive Head Generation for Real-time Conversations

    cs.CV 2025-07 conditional novelty 6.0 of 10

    ARIG introduces a real-time, frame-wise autoregressive head generation framework with diffusion-based continuous motion prediction, improving interactive realism over clip-wise methods.

  2. PhysiInter: Integrating Physical Mapping for High-Fidelity Human Interaction Generation

    cs.CV 2025-06 conditional novelty 6.0 of 10

    A text-to-motion pipeline that projects motions through physics-based imitation for training and post-processing, plus new consistency and marker-interaction losses.

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