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Found 5 papers, 1 papers with code
It Takes Two: Real-time Co-Speech Two-person's Interaction Generation via Reactive Auto-regressive Diffusion Model
To the best of our knowledge, this is the first system capable of generating interactive full-body motions for two characters from speech in an online manner.
InterAct: Capture and Modelling of Realistic, Expressive and Interactive Activities between Two Persons in Daily Scenarios
We address the problem of accurate capture and expressive modelling of interactive behaviors happening between two persons in daily scenarios.
InterCap: Joint Markerless 3D Tracking of Humans and Objects in Interaction
With this method we capture the InterCap dataset, which contains 10 subjects (5 males and 5 females) interacting with 10 objects of various sizes and affordances, including contact with the hands or feet.
Deep Inertial Poser: Learning to Reconstruct Human Pose from Sparse Inertial Measurements in Real Time
To learn from sufficient data, we synthesize IMU data from motion capture datasets.
Towards Accurate Markerless Human Shape and Pose Estimation over Time
Existing marker-less motion capture methods often assume known backgrounds, static cameras, and sequence specific motion priors, which narrows its application scenarios.
