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Found 6 papers, 1 papers with code
Reconstructing Three-Dimensional Models of Interacting Humans
Understanding 3d human interactions is fundamental for fine-grained scene analysis and behavioural modeling.
REMIPS: Physically Consistent 3D Reconstruction of Multiple Interacting People under Weak Supervision
We introduce a novel unified model for self- and interpenetration-collisions based on a mesh approximation computed by applying decimation operators.
AIFit: Automatic 3D Human-Interpretable Feedback Models for Fitness Training
AIFit is able to reconstruct 3d human pose and motion, reliably segment exercise repetitions, and identify in real-time the deviations between standards learnt from trainers, and the execution of a trainee.
Learning Complex 3D Human Self-Contact
Monocular estimation of three dimensional human self-contact is fundamental for detailed scene analysis including body language understanding and behaviour modeling.
Three-Dimensional Reconstruction of Human Interactions
Understanding 3d human interactions is fundamental for fine grained scene analysis and behavioural modeling.
Learning to Refine Human Pose Estimation
Multi-person pose estimation in images and videos is an important yet challenging task with many applications.
