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. Importantly, at in-
ference time, a feedback loop alternates between reﬁning
the SMPL(-X) mesh using the inferred clothed normals and
then reﬁning the normals. Given multiple reconstructed
frames of a subject in varied poses, we use a modiﬁed ver-
sion of SCANimate to produce an animatable avatar from
them. Evaluation on the AGORA and CAPE datasets shows
ICON