To explore the practical usage of 3DBiCar and RaBit, we

first conduct the application of single-view reconstruction.
Considering prior works for SMPL-based human geometry
generation from single-view images [6, 28, 32], we build a
baseline method with our dataset and the parametric model.
We select one regression-based method for pose and shape
inference. For texture inference, we find directly applying
a global texture-generator tends to make the results lose de-
tailed appearances, especially for some local but important
regions (e.g., nose and ears). Thus a part-sensitive reasoner
is utilized to deal with different local regions. We term our
baseline method for single-view reconstruction as BiCar-
Net. Moreover, two further applications, i.e., sketch-based
modeling and 3D character animation, are also explored. Ex-
perimental results on these applications demonstrate that it
is already able to generate reasonable outputs.

To summarize, our contributions include:
RaBit- Parametric Modeling of 3D Biped Cartoon Characters with a Topological-consistent Dataset