The question of how methods from the field of artificial intelligence can help improve the
conventional frameworks for topology optimisation has received increasing attention over …

This tutorial presents a hands-on view of the field of multi-view stereo with a focus on
practical algorithms. Multi-view stereo algorithms are able to construct highly detailed 3D …

Shape completion, the problem of estimating the complete geometry of objects from partial
observations, lies at the core of many vision and robotics applications. In this work, we …

Implicit neural networks have been successfully used for surface reconstruction from point
clouds. However, many of them face scalability issues as they encode the isosurface …

Template 3D shapes are useful for many tasks in graphics and vision, including fitting
observation data, analyzing shape collections, and transferring shape attributes. Because of …

The area of surface reconstruction has seen substantial progress in the past two decades.
The traditional problem addressed by surface reconstruction is to recover the digital …

Abstract 3D point cloud data from sensing technologies such as 3D laser scanning and
photogrammetry are able to capture the 3D surface geometries of target objects in an …

We propose a data-driven method for recovering missing parts of 3D shapes. Our method is
based on a new deep learning architecture consisting of two sub-networks: a global …

We describe an effective and efficient method for point-wise semantic classification of 3D
point clouds. The method can handle unstructured and inhomogeneous point clouds such …

We propose a novel framework for reconstructing lightweight polygonal surfaces from point
clouds. Unlike traditional methods that focus on either extracting good geometric primitives …