1-8 of about 8 matches for site:arxiv.org full-body
https://arxiv.org/abs/2503.15406
focus solely on preserving facial identity, our approach captures detailed full-body appearance, aligning with text descriptions for body structure and scene variations. Training this model requires2503.15406] Visual Persona: Foundation Model for Full-Body Human Customization Skip to main content We gratefully
https://arxiv.org/abs/2503.15406
focus solely on preserving facial identity, our approach captures detailed full-body appearance, aligning with text descriptions for body structure and scene variations. Training this model requires2503.15406] Visual Persona: Foundation Model for Full-Body Human Customization Skip to main content We gratefully
[2312.08983] Interactive Humanoid: Online Full-Body Motion Reaction Synthesis with Social Affordance
https://arxiv.org/abs/2312.08983
2312.08983] Interactive Humanoid: Online Full-Body Motion Reaction Synthesis with Social Affordance Canonicalization and Forecastingnumber arXiv identifier DOI ORCID arXiv author ID Help pages Full text Search open search GO open navigation menu quick links
https://arxiv.org/abs/2111.06389
2111.06389] Full-Body Visual Self-Modeling of Robot Morphologies Skip tonumber arXiv identifier DOI ORCID arXiv author ID Help pages Full text Search open search GO open navigation menu quick links
https://arxiv.org/abs/2410.21229
across modes. We present the key insight that full-body kinematic motion imitation can serve as a common2410.21229] HOVER: Versatile Neural Whole-Body Controller for Humanoid Robots Skip to main
https://arxiv.org/abs/2410.21229
across modes. We present the key insight that full-body kinematic motion imitation can serve as a common2410.21229] HOVER: Versatile Neural Whole-Body Controller for Humanoid Robots Skip to main
[2501.04595] MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scala
https://arxiv.org/abs/2501.04595
a scalable pipeline for generating diverse synthetic full-body human motion data, an automated method for creatingnumber arXiv identifier DOI ORCID arXiv author ID Help pages Full text Search open search GO open navigation menu quick links
https://arxiv.org/abs/2303.17912
CIRCLE, a dataset containing 10 hours of full-body reaching motion from 5 subjects across nine scenes, paired withnumber arXiv identifier DOI ORCID arXiv author ID Help pages Full text Search open search GO open navigation menu quick links