ANIM: Accurate Neural Implicit Model for Human Reconstruction from a single RGB-D image

arXiv:2403.10357v1 Announce Type: new
Abstract: Recent progress in human shape learning, shows that neural implicit models are effective in generating 3D human surfaces from limited number of views, and even from a single RGB image. However, existing monocular approaches still struggle to recover fine geometric details such as face, hands or cloth wrinkles. They are also easily prone to depth ambiguities that result in distorted geometries along the camera optical axis. In this paper, we explore the benefits of incorporating …

abstract arxiv cs.cv cs.gr however human image progress rgb-d shows struggle type