LAMP tracks 3D human motion from moving multi-camera headsets by converting 2D detections to a unified metric 3D world frame via device localization and fitting with an end-to-end spatio-temporal transformer.
WHAM: Reconstructing world-grounded hu- mans with accurate 3D motion
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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ExpertEdit edits novice motions to expert skill levels by learning a motion prior from unpaired videos and infilling masked skill-critical spans.
FactorizedHMR recovers 3D human meshes from video by deterministically anchoring the torso-root then probabilistically completing distal articulations via flow-matching with geometry-aware supervision and a synthetic data pipeline.
citing papers explorer
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LAMP: Localization Aware Multi-camera People Tracking in Metric 3D World
LAMP tracks 3D human motion from moving multi-camera headsets by converting 2D detections to a unified metric 3D world frame via device localization and fitting with an end-to-end spatio-temporal transformer.
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ExpertEdit: Learning Skill-Aware Motion Editing from Expert Videos
ExpertEdit edits novice motions to expert skill levels by learning a motion prior from unpaired videos and infilling masked skill-critical spans.
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FactorizedHMR: A Hybrid Framework for Video Human Mesh Recovery
FactorizedHMR recovers 3D human meshes from video by deterministically anchoring the torso-root then probabilistically completing distal articulations via flow-matching with geometry-aware supervision and a synthetic data pipeline.