Real-Time and Controllable Reactive Motion Synthesis via Intention Guidance

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dc.contributor.authorZhang, Xiaotangen_US
dc.contributor.authorChang, Ziyien_US
dc.contributor.authorMen, Qianhuien_US
dc.contributor.authorShum, Hubert P. H.en_US
dc.contributor.editorWimmer, Michaelen_US
dc.contributor.editorAlliez, Pierreen_US
dc.contributor.editorWestermann, RĂĽdigeren_US
dc.date.accessioned2025-11-07T08:33:46Z
dc.date.available2025-11-07T08:33:46Z
dc.date.issued2025
dc.description.abstractWe propose a real-time method for reactive motion synthesis based on the known trajectory of an input character, predicting instant reactions using only historical, user-controlled motions. Our method handles the uncertainty of future movements by introducing an intention predictor, which forecasts key joint intentions to make pose prediction more deterministic from the historical interaction. The intention is later encoded into the latent space of its reactive motion, matched with a codebook that represents mappings between input and output. It samples from the categorical distribution for pose generation and strengthens model robustness through adversarial training. Unlike previous offline approaches, the system can recursively generate intentions and reactive motions using feedback from earlier steps, enabling real-time, long-term realistic interactive synthesis. Both quantitative and qualitative experiments show our approach outperforms other matching-based motion synthesis approaches, delivering superior stability and generalisability. In our method, the user can also actively influence the outcome by controlling the moving directions, creating a personalised interaction path that deviates from predefined trajectories.en_US
dc.description.number6
dc.description.sectionheadersMajor Revision from Eurographics Conference
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume44
dc.identifier.doi10.1111/cgf.70222
dc.identifier.issn1467-8659
dc.identifier.pages12 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.70222
dc.identifier.urihttps://diglib.eg.org/handle/10.1111/cgf70222
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectanimation systems
dc.subjecthuman simulation
dc.subjectComputing methodologies→Motion capture
dc.subjectMotion processing
dc.titleReal-Time and Controllable Reactive Motion Synthesis via Intention Guidanceen_US
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