In the real world, humans can navigate through crowded spaces without collision because they are able to predict others’ intentions and avoidance strategies. However, navigating among autonomous virtual humans in Virtual Reality (VR) can be challenging due to the absence of anticipatory cues that communicate turning in...
Reiya Itatani, Tairan Yin, Kexiang Huang et al.· Proceedings of the 2026 ACM...· 0 citations
This work introduces a framework for cross-morphology motion transfer with semantic style alignment that uses morphology-agnostic control signals (e.g., velocity, angular velocity, relative height) to align behaviors across species.
Alexios Mylordos, J. L. Pontón, Nuria Pelechano et al.· IEEE Transactions on Visuali...· 0 citations
STyMo is presented, a few-shot approach that learns motion style from only seconds of paired data and trains in one to two minutes, to decompose style into two components: a static component capturing time-invariant posture, and a temporal component capturing frame-wise dynamics.
J. L. Pontón, Alexander W. Winkler, L. Kavan et al.· ACM Transactions on Graphics· 0 citations
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