Within the Dynamic Context: Inertia-aware 3D Human Modeling with Pose Sequence

arXiv:2403.19160v1 Announce Type: new
Abstract: Neural rendering techniques have significantly advanced 3D human body modeling. However, previous approaches often overlook dynamics induced by factors such as motion inertia, leading to challenges in scenarios like abrupt stops after rotation, where the pose remains static while the appearance changes. This limitation arises from reliance on a single pose as conditional input, resulting in ambiguity in mapping one pose to multiple appearances. In this study, we elucidate that variations in human appearance depend …

abstract advanced arxiv challenges context cs.cv dynamic dynamics however human modeling neural rendering rendering rotation type