To statistically analyze the necessity of LN diff and LS diff
in Eq. (4), we do a sanity check on AGORA’s validation
set. Initialized with different pose noise, sθ (Eq. (8)), we
optimize the {θ, β, t} parameters of the perturbed SMPL by
minimizing the difference between rendered SMPL-body
normal maps and ground-truth clothed-body normal maps
for 2K iterations. As Fig. 9 shows, LN diff + LS diff always
leads to the smallest error under any noise level, measured
by the Chamfer distance between the optimized perturbed
SMPL mesh and the ground-truth SMPL mesh.
A.3. Perceptual study (Tab. 3)
Reconstruction on in-the-wild images. We perform a per-
ceptual study to evaluate the perceived realism of the recon-
structed clothed 3D humans from in-the-wild images. ICON
is compared against 3 methods, PIFu [54], PIFuHD [55], and
PaMIR [70]. We create a benchmark of 200 unseen images
downloaded from the internet, and apply all the methods
ICON