Our work aims to reconstruct a 3D object that is held and rotated by a hand
in front of a static RGB camera. Previous methods that use implicit neural
representations to recover the geometry of a generic hand-held object from
multi-view images achieved compelling results in the visible part of the
object. However, these methods falter in accurately capturing