ICON: Implicit Clothed humans Obtained from Normals
our goal is to learn the avatar from only 2D images of people in unconstrained poses
ICON has two main modules, both of which exploit the SMPL(-X) body model. First, ICON infers detailed clothed-human normals (front/back) conditioned on the SMPL(-X) normals. Second, a visibility-aware implicit surface regressor produces an iso-surface of a human occupancy field.
ICON takes a step towards robust 3D clothed human reconstruction from in-the-wild images.
ICON: Implicit Clothed humans Obtained from Normals