Abstract: Single-shot 3D surface imaging techniques with high accuracy and high resolution are very important in both academia and industry. In this paper, we propose a sparse-to-dense structured ...

3D computer vision enables us to understand the spatial arrangement, orientation, shape, and volumetric characteristics of objects in the 3D world, leading to high-level semantic insights. This ...

Abstract: This paper reviews potential technical approaches applicable to train 3D reconstruction. It first presents 3D data acquisition methods, including image-based, LiDAR-based, and multi-source ...

While we are working on a reimplementation of our single-view reconstruction pipeline (which may be released in the future depending on my availability), we have released an uncurated* set of ...