Neural unsigned distance fields for implicit function learning
J Chibane, G Pons-Moll - Advances in Neural Information …, 2020 - proceedings.neurips.cc
In this work we target a learnable output representation that allows continuous, high
resolution outputs of arbitrary shape. Recent works represent 3D surfaces implicitly with a …
resolution outputs of arbitrary shape. Recent works represent 3D surfaces implicitly with a …
PCPNet Learning Local Shape Properties from Raw Point Clouds
In this paper, we propose PCPNet, a deep‐learning based approach for estimating local 3D
shape properties in point clouds. In contrast to the majority of prior techniques that …
shape properties in point clouds. In contrast to the majority of prior techniques that …
Ec-net: an edge-aware point set consolidation network
Point clouds obtained from 3D scans are typically sparse, irregular, and noisy, and required
to be consolidated. In this paper, we present the first deep learning based {em edge-aware} …
to be consolidated. In this paper, we present the first deep learning based {em edge-aware} …
[图书][B] Computer vision: algorithms and applications
R Szeliski - 2022 - books.google.com
Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …
despite all of the recent advances in computer vision research, the dream of having a …
Globally consistent normal orientation for point clouds by regularizing the winding-number field
Estimating normals with globally consistent orientations for a raw point cloud has many
downstream geometry processing applications. Despite tremendous efforts in the past …
downstream geometry processing applications. Despite tremendous efforts in the past …
[HTML][HTML] A voxel-based method of constructing and skinning conformal and functionally graded lattice structures suitable for additive manufacturing
Additive Manufacturing (AM) enables the production of geometrically complex parts that are
difficult to manufacture by other means. However, conventional CAD systems are limited in …
difficult to manufacture by other means. However, conventional CAD systems are limited in …
Laplacian surface editing
Surface editing operations commonly require geometric details of the surface to be
preserved as much as possible. We argue that geometric detail is an intrinsic property of a …
preserved as much as possible. We argue that geometric detail is an intrinsic property of a …
Edge-aware point set resampling
Points acquired by laser scanners are not intrinsically equipped with normals, which are
essential to surface reconstruction and point set rendering using surfels. Normal estimation …
essential to surface reconstruction and point set rendering using surfels. Normal estimation …
Estimating surface normals in noisy point cloud data
NJ Mitra, A Nguyen - Proceedings of the nineteenth annual symposium …, 2003 - dl.acm.org
In this paper we describe and analyze a method based on local least square fitting for
estimating the normals at all sample points of a point cloud data (PCD) set, in the presence …
estimating the normals at all sample points of a point cloud data (PCD) set, in the presence …
Physically based deformable models in computer graphics
Physically based deformable models have been widely embraced by the Computer
Graphics community. Many problems outlined in a previous survey by Gibson and Mirtich …
Graphics community. Many problems outlined in a previous survey by Gibson and Mirtich …