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