Mobile laser scanning (MLS) systems mainly comprise laser scanners and mobile map**
platforms. Typical MLS systems are able to acquire three-dimensional point clouds with 1-10 …

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 …

Abstract 3D point cloud completion, the task of inferring the complete geometric shape from
a partial point cloud, has been attracting attention in the community. For acquiring high …

We introduce a data-driven approach to complete partial 3D shapes through a combination
of volumetric deep neural networks and 3D shape synthesis. From a partially-scanned input …

We introduce ScanComplete, a novel data-driven approach for taking an incomplete 3D
scan of a scene as input and predicting a complete 3D model along with per-voxel semantic …

Point cloud completion is able to estimate the complete point cloud starting from the missing
point cloud, which obtains higher quality point cloud data for widely used in remote sensing …

Semantic scene completion (SSC) aims to jointly estimate the complete geometry and
semantics of a scene, assuming partial sparse input. In the last years following the …

We introduce a new diffusion-based approach for shape completion on 3D range scans.
Compared with prior deterministic and probabilistic methods, we strike a balance between …

In this paper, we propose a novel 3D-RecGAN approach, which reconstructs the complete
3D structure of a given object from a single arbitrary depth view using generative adversarial …

In this paper, we propose a novel approach, 3D-RecGAN++, which reconstructs the
complete 3D structure of a given object from a single arbitrary depth view using generative …