We now present our architecture for shape reconstruction. Our architecture is based on two established practices from prior works in this field

In this section, we present our experiments, which include state-of-the-art comparisons and ablations.

We present a strong regression-based model for zero-shot shape reconstruction. The core of our model is an intermediate representation of the 3D visible surface

Due to computational resource limitations, we are not able to process and train our model on the full Objaverse dataset.

We show qualitative results of different methods in Fig. 5. Generative approaches such as Point-E and Shap-E tend to have sharper surfaces