Bridging Formal Shape Models and Deep Learning: A Novel Fusion for Understanding 3D Objects
This article describes a novel fusion of a generative formal model for three-dimensional (3D)
shapes with deep learning (DL) methods to understand the geometric structure of 3D objects …
shapes with deep learning (DL) methods to understand the geometric structure of 3D objects …
[HTML][HTML] Reconstruction of Random Structures Based on Generative Adversarial Networks: Statistical Variability of Mechanical and Morphological Properties
M Tashkinov, Y Pirogova, E Kononov, A Shalimov… - Mathematics, 2024 - mdpi.com
Generative adversarial neural networks with a variational autoencoder (VAE-GANs) are
actively used in the field of materials design. The synthesis of random structures with …
actively used in the field of materials design. The synthesis of random structures with …
Spatio-Temporal 3D Reconstruction from Frame Sequences and Feature Points
Reconstructing a large real environment is a fundamental task to promote eXtended Reality
adoption in industrial and entertainment fields. However, the short range of depth cameras …
adoption in industrial and entertainment fields. However, the short range of depth cameras …
Visual SLAM: Sensor, Efficiency, and 3D Objects
J Zhang - 2024 - search.proquest.com
Abstract Simultaneous Localization and Mapping (SLAM) is pivotal for autonomous robots to
navigate and operate in complex environments autonomously. Despite strides in SLAM …
navigate and operate in complex environments autonomously. Despite strides in SLAM …