State of the art in surface reconstruction from point clouds
M Berger, A Tagliasacchi, LM Seversky… - … Conference of the …, 2014 - infoscience.epfl.ch
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 …
The traditional problem addressed by surface reconstruction is to recover the digital …
[HTML][HTML] Recent advancements in learning algorithms for point clouds: An updated overview
Recent advancements in self-driving cars, robotics, and remote sensing have widened the
range of applications for 3D Point Cloud (PC) data. This data format poses several new …
range of applications for 3D Point Cloud (PC) data. This data format poses several new …
Pcn: Point completion network
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 …
observations, lies at the core of many vision and robotics applications. In this work, we …
Hybridpose: 6d object pose estimation under hybrid representations
We introduce HybridPose, a novel 6D object pose estimation approach. HybridPose utilizes
a hybrid intermediate representation to express different geometric information in the input …
a hybrid intermediate representation to express different geometric information in the input …
A survey of surface reconstruction from point clouds
M Berger, A Tagliasacchi, LM Seversky… - Computer graphics …, 2017 - Wiley Online Library
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 …
The traditional problem addressed by surface reconstruction is to recover the digital …
Proxyformer: Proxy alignment assisted point cloud completion with missing part sensitive transformer
Problems such as equipment defects or limited viewpoints will lead the captured point
clouds to be incomplete. Therefore, recovering the complete point clouds from the partial …
clouds to be incomplete. Therefore, recovering the complete point clouds from the partial …
Vconv-dae: Deep volumetric shape learning without object labels
With the advent of affordable depth sensors, 3D capture becomes more and more ubiquitous
and already has made its way into commercial products. Yet, capturing the geometry or …
and already has made its way into commercial products. Yet, capturing the geometry or …
Shapenet: An information-rich 3d model repository
We present ShapeNet: a richly-annotated, large-scale repository of shapes represented by
3D CAD models of objects. ShapeNet contains 3D models from a multitude of semantic …
3D CAD models of objects. ShapeNet contains 3D models from a multitude of semantic …
Signal processing for implicit neural representations
Abstract Implicit Neural Representations (INRs) encoding continuous multi-media data via
multi-layer perceptrons has shown undebatable promise in various computer vision tasks …
multi-layer perceptrons has shown undebatable promise in various computer vision tasks …
3D semantic scene completion: A survey
L Roldao, R De Charette… - International Journal of …, 2022 - Springer
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 …
semantics of a scene, assuming partial sparse input. In the last years following the …