Furthermore, thanks to the usage of the common under-
lying SMPL model as body reference, our PaMIR represen-
tation implicitly builds a correspondence relationship across
different models. As a result, our method can be easily
extended to multi-image setups like multi-view inputs or
video inputs without the requirement for calibration and
synchronization. Experiments show that our method is able
to reconstruct high-quality human models with various
body shapes, poses and clothes, and outperforms state-
of-the-art methods in terms of accuracy, robustness and
generalization capability.
PaMIR- Parametric Model-Conditioned Implicit Representation for Image-based Human Reconstruction