Abstract

Reconstruction of a 3D model from a single image is challenging. Nevertheless, recent advances in deep learning methods demonstrated exciting progress toward single-view 3D object reconstruction. However, successful training of a deep learning model requires an extensive dataset with pairs of geometrically aligned 3D models and color images. While manual dataset collection using photogrammetry of laser scanning is challenging, the 3D modeling provides a promising method for data generation. Still, a deep model should be able to generalize from synthetic to real data.