Weakly-Supervised Single-view Dense 3D Point Cloud Reconstruction via Differentiable Renderer

Weakly-Supervised Single-view Dense 3D Point Cloud Reconstruction via Differentiable Renderer

Abstract In recent years, addressing ill-posed problems by leveraging prior knowledge contained in databases on learning techniques has gained much attention. In this paper, we focus on complete three-dimensional (3D) point cloud reconstruction based on a single red-green-blue (RGB) image, a task th...

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Bibliographic Details
Main Authors: Peng Jin, Shaoli Liu, Jianhua Liu, Hao Huang, Linlin Yang, Michael Weinmann, Reinhard Klein
Format: Article
Language:English
Published: SpringerOpen 2021-09-01
Series:Chinese Journal of Mechanical Engineering
Subjects:
Point clouds reconstruction
Differentiable renderer
Neural networks
Single-view configuration
Online Access:https://doi.org/10.1186/s10033-021-00615-x

Internet

https://doi.org/10.1186/s10033-021-00615-x

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